Triple

T4012958
Position Surface form Disambiguated ID Type / Status
Subject Vanguard program E90687 entity
Predicate usedTrackingSystem P26119 FINISHED
Object Minitrack system
The Minitrack system was an early ground-based satellite tracking network developed in the 1950s to detect and follow the radio signals of Earth-orbiting spacecraft.
E406324 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Minitrack system | Statement: [Vanguard program, usedTrackingSystem, Minitrack system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minitrack system
Context triple: [Vanguard program, usedTrackingSystem, Minitrack system]
  • A. Inner Tracking System
    The Inner Tracking System is a high-precision silicon detector in the ALICE experiment at CERN’s Large Hadron Collider, used to track and identify particles produced in heavy-ion collisions near the interaction point.
  • B. E-band systems
    E-band systems are high-frequency millimeter-wave communication platforms operating roughly in the 60–90 GHz range, commonly used for high-capacity wireless backhaul and point-to-point links.
  • C. Midgate cargo system
    The Midgate cargo system is a configurable pickup bed and cabin partition design that lets owners extend the cargo area into the rear passenger compartment for increased hauling versatility.
  • D. Chessie System
    Chessie System was a major American railroad holding company formed in the 1970s that operated several eastern U.S. railroads under the iconic “Chessie the cat” branding before eventually becoming part of CSX Transportation.
  • E. UPIC system
    The UPIC system is an innovative computer-based composition tool that lets composers create music by drawing graphical shapes that are then translated into sound.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Minitrack system
Triple: [Vanguard program, usedTrackingSystem, Minitrack system]
Generated description
The Minitrack system was an early ground-based satellite tracking network developed in the 1950s to detect and follow the radio signals of Earth-orbiting spacecraft.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Minitrack system
Target entity description: The Minitrack system was an early ground-based satellite tracking network developed in the 1950s to detect and follow the radio signals of Earth-orbiting spacecraft.
  • A. Inner Tracking System
    The Inner Tracking System is a high-precision silicon detector in the ALICE experiment at CERN’s Large Hadron Collider, used to track and identify particles produced in heavy-ion collisions near the interaction point.
  • B. E-band systems
    E-band systems are high-frequency millimeter-wave communication platforms operating roughly in the 60–90 GHz range, commonly used for high-capacity wireless backhaul and point-to-point links.
  • C. Midgate cargo system
    The Midgate cargo system is a configurable pickup bed and cabin partition design that lets owners extend the cargo area into the rear passenger compartment for increased hauling versatility.
  • D. Chessie System
    Chessie System was a major American railroad holding company formed in the 1970s that operated several eastern U.S. railroads under the iconic “Chessie the cat” branding before eventually becoming part of CSX Transportation.
  • E. UPIC system
    The UPIC system is an innovative computer-based composition tool that lets composers create music by drawing graphical shapes that are then translated into sound.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedTrackingSystem
Context triple: [Vanguard program, usedTrackingSystem, Minitrack system]
  • A. usesTrackage
    Indicates that one transportation operator or service runs its vehicles over railway or transit tracks that are owned or controlled by another entity.
  • B. isTrackedBy chosen
    Indicates that an entity’s state, behavior, or changes are being monitored, recorded, or followed by another entity.
  • C. trackUsage
    Indicates that one entity monitors and records how another entity or resource is being used over time.
  • D. trackingType
    Indicates the method or category by which an entity’s movement, status, or progress is monitored or recorded.
  • E. usedTractionType
    Indicates the type of traction or drive mechanism that was employed in performing the action or operating the entity.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaec08dc8190a341809059554f84 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c70eb7c8190bc5c4086b756c9c4 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54d1898d48190b717a17ad366918d completed March 14, 2026, 11:57 a.m.
NED2 Entity disambiguation (via description) batch_69b54ded2e6c8190a6dc9ce2f5d474b8 completed March 14, 2026, noon
PD Predicate disambiguation batch_69aef8fa6fec81909b1190ecbba61410 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:35 p.m.