Triple
T29922804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天草飛行場 |
E759991
|
entity |
| Predicate | 地域交通上の役割 |
P6821
|
FINISHED |
| Object | 天草諸島と本土主要都市を結ぶ拠点空港 |
—
|
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: 天草諸島と本土主要都市を結ぶ拠点空港 | Statement: [天草飛行場, 地域交通上の役割, 天草諸島と本土主要都市を結ぶ拠点空港]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 地域交通上の役割 Context triple: [天草飛行場, 地域交通上の役割, 天草諸島と本土主要都市を結ぶ拠点空港]
-
A.
hasMajorTransportationRole
Indicates that an entity plays a primary or significant role in providing or supporting transportation services or infrastructure.
-
B.
usedTransportationInfrastructure
Indicates that an entity made use of some form of transportation infrastructure (such as roads, railways, or ports) to enable movement or transit.
-
C.
transportationRole
chosen
Indicates a role or function that an entity has specifically in the context of providing, operating, or supporting transportation.
-
D.
roadTransportFunction
Indicates a functional relationship in which something serves or is used for the transport of people or goods via roads.
-
E.
associatedWithTransportationInfrastructure
Indicates a relationship where something is connected or related to transportation infrastructure, such as facilities, systems, or structures used for transport.
- 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.