Triple

T20250937
Position Surface form Disambiguated ID Type / Status
Subject ExpressJet Airlines E498552 entity
Predicate callsign P1565 FINISHED
Object ACEY
ACEY is the radio callsign used by ExpressJet Airlines for air traffic control communications.
 E1421243 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: ACEY | Statement: [ExpressJet Airlines, callsign, ACEY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ACEY
Context triple: [ExpressJet Airlines, callsign, ACEY]
  • A. ACE
    ACE (Altamont Corridor Express) is a commuter rail service in California’s San Joaquin Valley and East Bay that provides weekday trains between Stockton and San Jose.
  • B. ACE
    ACE is the commonly used acronym for Arts Council England, the national body that supports and funds arts and culture across England.
  • C. ACE
    ACE is the IATA airport code for Lanzarote Airport in Spain’s Canary Islands.
  • D. ACE
    ACE is a Canadian satellite mission focused on studying Earth's atmosphere and climate through detailed measurements of atmospheric chemistry.
  • E. ACE
    ACE is a NASA space weather observatory that continuously monitors the solar wind and energetic particles from its position near the Sun–Earth L1 Lagrange point.
  • 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: ACEY
Triple: [ExpressJet Airlines, callsign, ACEY]
Generated description
ACEY is the radio callsign used by ExpressJet Airlines for air traffic control communications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ACEY
Target entity description: ACEY is the radio callsign used by ExpressJet Airlines for air traffic control communications.
  • A. ACE
    ACE (Altamont Corridor Express) is a commuter rail service in California’s San Joaquin Valley and East Bay that provides weekday trains between Stockton and San Jose.
  • B. ACE
    ACE is the commonly used acronym for Arts Council England, the national body that supports and funds arts and culture across England.
  • C. ACE
    ACE is the IATA airport code for Lanzarote Airport in Spain’s Canary Islands.
  • D. ACE
    ACE is a Canadian satellite mission focused on studying Earth's atmosphere and climate through detailed measurements of atmospheric chemistry.
  • E. ACE
    ACE is the American Council on Education, a major coordinating body for higher education institutions in the United States that advocates for effective public policy and institutional leadership.
  • 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.