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.