Triple
T35995145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kauai island airports |
E1040960
|
entity |
| Predicate | primaryCommercialAirport |
P151946
|
FINISHED |
| Object | Lihue Airport |
E134122
|
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: Lihue Airport | Statement: [Kauai island airports, primaryCommercialAirport, Lihue Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCommercialAirport Context triple: [Kauai island airports, primaryCommercialAirport, Lihue Airport]
-
A.
primaryCivilAirportComponent
Indicates that one entity serves as the main civil airport component or facility associated with another entity.
-
B.
previousPrimaryAirportFor
Indicates that one airport was formerly the main or primary airport serving a particular location or entity before being replaced by another.
-
C.
hasPrimaryAirportRole
Indicates that an entity holds the main or principal functional role associated with an airport.
-
D.
mainAccessAirport
chosen
Indicates that one location serves as the primary airport providing access to another place or region.
-
E.
secondaryCommercialAirport
Indicates that an airport functions as a secondary commercial facility serving a particular city or region, complementing the primary commercial airport.
- F. None of above.
Provenance (4 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38d529b4d48190820c5aeadfc6b619 |
completed | June 22, 2026, 6:24 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.