Triple

T8520742
Position Surface form Disambiguated ID Type / Status
Subject SAS-2 E201686 entity
Predicate alsoKnownAs P39 FINISHED
Object SAS-B
SAS-B is a U.S. Navy satellite from the 1970s that was part of the Space Surveillance (SAS) series used to study celestial X-ray sources.
 E739750 NE FINISHED

How this triple was built (4 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: SAS-B | Statement: [SAS-2, alsoKnownAs, SAS-B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAS-B
Context triple: [SAS-2, alsoKnownAs, SAS-B]
  • A. SAS
    SAS is the common abbreviation for the San Antonio Scorpions, a former professional soccer team based in San Antonio, Texas.
  • B. SAS
    SAS is a high-speed, point-to-point serial interface standard commonly used to connect enterprise storage devices like hard drives and solid-state drives to servers.
  • C. SAS
    SAS is an elite special forces unit of the British Army renowned for its covert operations, counterterrorism expertise, and rigorous selection process.
  • D. SAS
    SAS is the standard abbreviation used for the NBA team San Antonio Spurs.
  • E. SAS
    SAS is the station code for San Antonio railway station.
  • 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: SAS-B
Triple: [SAS-2, alsoKnownAs, SAS-B]
Generated description
SAS-B is a U.S. Navy satellite from the 1970s that was part of the Space Surveillance (SAS) series used to study celestial X-ray sources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAS-B
Target entity description: SAS-B is a U.S. Navy satellite from the 1970s that was part of the Space Surveillance (SAS) series used to study celestial X-ray sources.
  • A. SAS
    SAS is the common abbreviation for the San Antonio Scorpions, a former professional soccer team based in San Antonio, Texas.
  • B. SAS
    SAS is a high-speed, point-to-point serial interface standard commonly used to connect enterprise storage devices like hard drives and solid-state drives to servers.
  • C. SAS
    SAS is an elite special forces unit of the British Army renowned for its covert operations, counterterrorism expertise, and rigorous selection process.
  • D. SAS
    SAS is the standard abbreviation used for the NBA team San Antonio Spurs.
  • E. SAS
    SAS is the station code for San Antonio railway station.
  • F. None of above. chosen

Provenance (5 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe628f8c48190a35201f9fde605cc completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e76dcd08190866fde75cd0ac389 completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ffc30e08190b71e941d63d56015 completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce54dc664081908ff63ec7f92834d7 completed April 2, 2026, 11:37 a.m.
Created at: March 30, 2026, 6:16 p.m.