Triple
T29922799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天草飛行場 |
E759991
|
entity |
| Predicate | 主な利用航空会社 |
P12356
|
FINISHED |
| Object | 天草エアライン |
—
|
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: 天草エアライン | Statement: [天草飛行場, 主な利用航空会社, 天草エアライン]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主な利用航空会社 Context triple: [天草飛行場, 主な利用航空会社, 天草エアライン]
-
A.
usedByAirlineIATA
Indicates that something (such as a code, resource, or facility) is utilized or operated by an airline identified by its IATA code.
-
B.
servesAirline
chosen
Indicates that a transportation facility or location provides service for, or is regularly used by, a specified airline.
-
C.
usedByAirlineAlsoKnownAs
Indicates that an item (such as a code, name, or identifier) is used by an airline that is also known by an alternative name.
-
D.
primaryAircraftOperator
Indicates that one entity is the main organization or individual responsible for operating a particular aircraft.
-
E.
usedByAirlineBase
Indicates that a particular airline base is utilized or operated by a specific airline.
- 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.