Triple
T29922785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天草飛行場 |
E759991
|
entity |
| Predicate | ターミナルビル運営者 |
P86510
|
FINISHED |
| Object | 天草エアライン |
—
|
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: 天草エアライン | Statement: [天草飛行場, ターミナルビル運営者, 天草エアライン]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ターミナルビル運営者 Context triple: [天草飛行場, ターミナルビル運営者, 天草エアライン]
-
A.
architectOfPassengerTerminal
Indicates that an entity served as the architect responsible for designing a specific passenger terminal.
-
B.
shipOperator
Indicates the entity that is responsible for operating, managing, or running a ship.
-
C.
operatesTerminalsIn
chosen
Indicates that an entity manages or runs the operations of one or more terminals at a given location or facility.
-
D.
servesAsPrimaryAirportOperatorForCity
Indicates that an entity functions as the main organization responsible for operating the primary airport serving a particular city.
-
E.
aircraftOperator
Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f677953ad0819099fa0d8006a65679 |
completed | May 2, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:15 p.m.