Triple

T7143092
Position Surface form Disambiguated ID Type / Status
Subject General Enrique Mosconi International Airport E166496 entity
Predicate ICAOcode P419 FINISHED
Object SAVC
SAVC is the ICAO airport code for General Enrique Mosconi International Airport in Comodoro Rivadavia, Argentina.
 E644811 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: SAVC | Statement: [General Enrique Mosconi International Airport, ICAOcode, SAVC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAVC
Context triple: [General Enrique Mosconi International Airport, ICAOcode, SAVC]
  • A. SAV
    SAV is the National Rail station code for Stratford-upon-Avon railway station in Warwickshire, England.
  • B. SAVP
    SAVP is a profile or configuration associated with the Real-time Transport Protocol (RTP), typically used to define specific parameters or behaviors for secure or specialized media streaming sessions.
  • C. SAC
    SAC is the commonly used abbreviation for the United States Air Force’s former Strategic Air Command, which oversaw America’s land-based nuclear bombers and missiles during much of the Cold War.
  • D. SAC
    SAC is a NATO-led multinational program that provides participating nations with shared strategic airlift capabilities using a fleet of C-17 Globemaster III aircraft.
  • E. SAC
    SAC (Soft Actor-Critic) is a popular off-policy deep reinforcement learning algorithm that optimizes both expected return and policy entropy to achieve stable and efficient learning in continuous control tasks.
  • 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: SAVC
Triple: [General Enrique Mosconi International Airport, ICAOcode, SAVC]
Generated description
SAVC is the ICAO airport code for General Enrique Mosconi International Airport in Comodoro Rivadavia, Argentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAVC
Target entity description: SAVC is the ICAO airport code for General Enrique Mosconi International Airport in Comodoro Rivadavia, Argentina.
  • A. SAV
    SAV is the National Rail station code for Stratford-upon-Avon railway station in Warwickshire, England.
  • B. SAVP
    SAVP is a profile or configuration associated with the Real-time Transport Protocol (RTP), typically used to define specific parameters or behaviors for secure or specialized media streaming sessions.
  • C. SAC
    SAC is the commonly used abbreviation for the United States Air Force’s former Strategic Air Command, which oversaw America’s land-based nuclear bombers and missiles during much of the Cold War.
  • D. SAC
    SAC is a NATO-led multinational program that provides participating nations with shared strategic airlift capabilities using a fleet of C-17 Globemaster III aircraft.
  • E. SAC
    SAC (Soft Actor-Critic) is a popular off-policy deep reinforcement learning algorithm that optimizes both expected return and policy entropy to achieve stable and efficient learning in continuous control tasks.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e779ace48190be9c33750e60a79e completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad98576481908b8b82f675079fca completed March 28, 2026, 10:29 a.m.
NEDg Description generation batch_69c7ae1bde448190b546d292d213c8c9 completed March 28, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_69c7ae73e1a88190a18488b3155b2542 completed March 28, 2026, 10:33 a.m.
Created at: March 27, 2026, 2:45 p.m.