Triple
T12440983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airports of Thailand PCL |
E297267
|
entity |
| Predicate | hasMajorAirports |
P281
|
FINISHED |
| Object | major international airports in Thailand |
—
|
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: major international airports in Thailand | Statement: [Airports of Thailand PCL, hasMajorAirports, major international airports in Thailand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorAirports Context triple: [Airports of Thailand PCL, hasMajorAirports, major international airports in Thailand]
-
A.
hasMajorAirport
chosen
Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
-
B.
isMajorRegionalAirportFor
Indicates that an airport serves as a primary or significant air travel hub for a particular region.
-
C.
hasMajorCityHub
Indicates that an entity contains or is associated with a primary, high-importance city that functions as a central hub for activity, services, or connectivity.
-
D.
isMajorCargoAirport
Indicates that an airport primarily handles large volumes of cargo traffic and serves as a significant freight hub.
-
E.
hasMinorAirport
Indicates that a location or region is served by at least one smaller, secondary, or non-major airport.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.