Triple
T5272796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | go! (Hawaii) |
E119300
|
entity |
| Predicate | mainHub |
P423
|
FINISHED |
| Object | HNL |
E207851
|
NE FINISHED |
How this triple was built (2 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: HNL | Statement: [go! (Hawaii), mainHub, HNL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HNL Context triple: [go! (Hawaii), mainHub, HNL]
-
A.
HNL
chosen
HNL is the IATA airport code for Daniel K. Inouye International Airport, the primary commercial airport serving Honolulu and the state of Hawaii.
-
B.
HNL
HNL is the currency code for the Honduran lempira, the official monetary unit of Honduras.
-
C.
Haise
Haise is the surname of Fred Haise, the American astronaut and Apollo 13 lunar module pilot.
-
D.
ʻEua
ʻEua is a rugged, forested island in southern Tonga known for its dramatic cliffs, caves, and some of the country’s best hiking and birdwatching.
-
E.
Hatta
Hatta is an Indonesian surname most prominently associated with Mohammad Hatta, the country’s first vice president and a leading figure in the struggle for independence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7c2145908190a59570875d5bf3d9 |
completed | March 20, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06ced8f481909d1714ed3415ab85 |
completed | March 21, 2026, 8:59 p.m. |
Created at: March 20, 2026, 1:51 p.m.