Triple
T32862371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westover Metropolitan Development Corporation |
E840549
|
entity |
| Predicate | typeOfAirportItManages |
P98427
|
FINISHED |
| Object | public-use airport |
—
|
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: public-use airport | Statement: [Westover Metropolitan Development Corporation, typeOfAirportItManages, public-use airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAirportItManages Context triple: [Westover Metropolitan Development Corporation, typeOfAirportItManages, public-use airport]
-
A.
airportTypeManaged
chosen
Indicates that an entity is responsible for managing or overseeing a particular type or category of airport.
-
B.
servesAsPrimaryAirportOperatorForCity
Indicates that an entity functions as the main organization responsible for operating the primary airport serving a particular city.
-
C.
primaryAirportManaged
Indicates that one entity is responsible for operating, overseeing, or administering another entity’s main or primary airport.
-
D.
managesAirportInRegion
Indicates that an entity is responsible for operating or overseeing an airport located within a specified geographic region.
-
E.
isCivilAirport
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
- F. None of above.
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_69f34942465c819099b3fb47f9044f58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a007dd341108190a1d03eab46041694 |
completed | May 10, 2026, 12:45 p.m. |
| PD | Predicate disambiguation | batch_6a007b1fe2a881909ec50a1e65e4651b |
completed | May 10, 2026, 12:33 p.m. |
Created at: May 1, 2026, 1:17 a.m.