Triple
T17733399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kokkai-gijidō-mae Station |
E442644
|
entity |
| Predicate | connectedToStationByPassage |
P29183
|
FINISHED |
| Object | Nagatachō Station |
—
|
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: Nagatachō Station | Statement: [Kokkai-gijidō-mae Station, connectedToStationByPassage, Nagatachō Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToStationByPassage Context triple: [Kokkai-gijidō-mae Station, connectedToStationByPassage, Nagatachō Station]
-
A.
connectsAtStation
Indicates that one transportation service or route links to another at a specific station, allowing passengers to transfer between them there.
-
B.
nearbyConnectionViaPassageways
chosen
Indicates that two locations are close to each other and are connected specifically through one or more passageways.
-
C.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
-
D.
hasFareGateConnectionTo
Indicates that there is a direct passage or connection between two areas that is controlled or mediated by fare gates.
-
E.
connectedByPeopleMoverTo
Indicates that two locations are linked by a people mover system that transports people between them.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e86f188190a5dd7fb32fd04c7b |
completed | April 19, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:08 a.m.