Triple

T20250936
Position Surface form Disambiguated ID Type / Status
Subject ExpressJet Airlines E498552 entity
Predicate ICAOCode P419 FINISHED
Object ASQ
ASQ is the ICAO airline designator used to identify ExpressJet Airlines in international aviation operations.
 E1421242 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: ASQ | Statement: [ExpressJet Airlines, ICAOCode, ASQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASQ
Context triple: [ExpressJet Airlines, ICAOCode, ASQ]
  • A. Ascq
    Ascq is a former village in northern France, now part of Villeneuve-d’Ascq, historically known for the 1944 Ascq massacre during World War II.
  • B. SQC
    SQC is the standard national qualification certificate awarded to students in Scotland for completing secondary and further education courses.
  • C. A.S.A.
    A.S.A. is the commonly used abbreviation for Anagennisi Karditsa F.C., a Greek football club based in Karditsa.
  • D. QAS
    QAS is the state-wide emergency medical and ambulance service provider for Queensland, Australia.
  • E. QMS
    QMS is the U.S. Army’s Quartermaster School, responsible for training and developing logistics, supply, and sustainment professionals for the Army.
  • 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: ASQ
Triple: [ExpressJet Airlines, ICAOCode, ASQ]
Generated description
ASQ is the ICAO airline designator used to identify ExpressJet Airlines in international aviation operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASQ
Target entity description: ASQ is the ICAO airline designator used to identify ExpressJet Airlines in international aviation operations.
  • A. Ascq
    Ascq is a former village in northern France, now part of Villeneuve-d’Ascq, historically known for the 1944 Ascq massacre during World War II.
  • B. SQC
    SQC is the standard national qualification certificate awarded to students in Scotland for completing secondary and further education courses.
  • C. A.S.A.
    A.S.A. is the commonly used abbreviation for Anagennisi Karditsa F.C., a Greek football club based in Karditsa.
  • D. QAS
    QAS is the state-wide emergency medical and ambulance service provider for Queensland, Australia.
  • E. QMS
    QMS is the U.S. Army’s Quartermaster School, responsible for training and developing logistics, supply, and sustainment professionals for the Army.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a79a208190a5a7c0f6515bc393 completed April 20, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0855262c548190b5f6102b4e6e01a6 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0856ac50e081909c8bc737e4fe6e56 completed May 16, 2026, 11:36 a.m.
NED2 Entity disambiguation (via description) batch_6a085746f2f08190a703a832f5867c7b completed May 16, 2026, 11:38 a.m.
Created at: April 11, 2026, 11:41 p.m.