Triple
T30186608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Hanover County Airport Authority |
E767353
|
entity |
| Predicate | airportCodeGoverned |
P99949
|
FINISHED |
| Object | ILM |
—
|
NE NERFINISHED |
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: ILM | Statement: [New Hanover County Airport Authority, airportCodeGoverned, ILM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airportCodeGoverned Context triple: [New Hanover County Airport Authority, airportCodeGoverned, ILM]
-
A.
airportCodeContext
Indicates that an airport code is being used or interpreted within a specific contextual framework (such as a region, system, or standard) that defines its meaning.
-
B.
airportCodeFAA
Indicates that an airport is identified by a specific FAA (Federal Aviation Administration) airport code.
-
C.
airportIATAAssociated
Indicates that an airport is associated with a specific IATA (International Air Transport Association) code.
-
D.
airportUse
Indicates that an airport is used or utilized by a particular entity, such as an airline, organization, or service.
-
E.
governingBodyOfIATACode
chosen
Indicates that one entity serves as the governing or assigning authority responsible for a given IATA code associated with another entity.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 29, 2026, 7:27 p.m.