Triple
T25808012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KBOI |
E650024
|
entity |
| Predicate | isJointUseAirport |
P159294
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [KBOI, isJointUseAirport, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isJointUseAirport Context triple: [KBOI, isJointUseAirport, true]
-
A.
isPublicAirport
Indicates that an airport is open for use by the general public rather than restricted to private or military operations.
-
B.
isPassengerAirport
Indicates that an airport primarily serves commercial passenger air traffic rather than cargo or other specialized operations.
-
C.
isCivilAirport
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
-
D.
isCommercialServiceAirport
Indicates that an airport is designated and operated as a commercial service facility offering scheduled passenger or cargo air transport services.
-
E.
sharesAirportWith
Indicates that two entities use or are associated with the same airport.
- F. None of above. chosen
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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f600c18a14819081b5914dd3b0f9cf |
completed | May 2, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 7:05 a.m.