Triple
T37060572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 萱島駅 |
E917311
|
entity |
| Predicate | 地域交通拠点 |
P81087
|
FINISHED |
| Object | 寝屋川市の交通結節点 |
—
|
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: 寝屋川市の交通結節点 | Statement: [萱島駅, 地域交通拠点, 寝屋川市の交通結節点]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 地域交通拠点 Context triple: [萱島駅, 地域交通拠点, 寝屋川市の交通結節点]
-
A.
transportationFacility
Indicates that one entity is a facility or location used for the transportation or transit of people or goods in relation to another entity.
-
B.
isTransportCenterOf
chosen
Indicates that a location functions as a primary hub or central node for transportation activities serving another area or network.
-
C.
transportationJunctionFor
Indicates a location that serves as a connecting point where multiple transportation routes or modes meet, intersect, or transfer.
-
D.
roadNetworkHubOf
Indicates that one location functions as a central node or hub within the road network relative to another location or area.
-
E.
shareTransportInfrastructure
Indicates that multiple entities make joint use of the same transport infrastructure facilities or systems.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.