Triple
T13638719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BHX |
E325917
|
entity |
| Predicate | isCargoAirportCode |
P111421
|
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: [BHX, isCargoAirportCode, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCargoAirportCode Context triple: [BHX, isCargoAirportCode, true]
-
A.
isInternationalAirportCode
Indicates that a given code designates an airport in the standardized international airport coding system (such as IATA or ICAO).
-
B.
isMajorDomesticAirportCode
Indicates that an airport code belongs to a major domestic airport within a given country or region.
-
C.
isMajorCargoAirport
Indicates that an airport primarily handles large volumes of cargo traffic and serves as a significant freight hub.
-
D.
isPassengerAirport
Indicates that an airport primarily serves commercial passenger air traffic rather than cargo or other specialized operations.
-
E.
isCivilAirport
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc6043e148190a2a25f929cfa35e5 |
completed | April 12, 2026, 4:19 p.m. |
Created at: April 9, 2026, 9:51 p.m.