Triple

T1120475
Position Surface form Disambiguated ID Type / Status
Subject Hawaiian Airlines E24598 entity
Predicate IATACode P418 FINISHED
Object HA
HA is the IATA airline designator for Hawaiian Airlines, the largest and longest-serving commercial airline based in Hawaii.
E132277 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: HA | Statement: [Hawaiian Airlines, IATACode, HA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HA
Context triple: [Hawaiian Airlines, IATACode, HA]
  • A. HAV
    HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • B. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • C. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • D. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • E. CHA
    The Charlotte Hornets are a professional basketball team based in Charlotte, North Carolina, competing in the NBA's Eastern Conference.
  • 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: HA
Triple: [Hawaiian Airlines, IATACode, HA]
Generated description
HA is the IATA airline designator for Hawaiian Airlines, the largest and longest-serving commercial airline based in Hawaii.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HA
Target entity description: HA is the IATA airline designator for Hawaiian Airlines, the largest and longest-serving commercial airline based in Hawaii.
  • A. HAV
    HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • B. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • C. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • D. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • E. CHA
    The Charlotte Hornets are a professional basketball team based in Charlotte, North Carolina, competing in the NBA's Eastern Conference.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbbe58588190a5ef6346e269d5f3 completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eab1e6481908c175e175ae4743a completed March 7, 2026, 5:21 p.m.
NEDg Description generation batch_69ac5f6ced108190bf635a0d8b3b22a5 completed March 7, 2026, 5:25 p.m.
NED2 Entity disambiguation (via description) batch_69ac5feabffc819082f5d28f9628558f completed March 7, 2026, 5:27 p.m.
Created at: March 1, 2026, 7:43 p.m.