Triple
T25924791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metro Hanzomon Line at Nagatacho |
E653270
|
entity |
| Predicate | connectsToStationComplex |
P21403
|
FINISHED |
| Object | Nagatacho 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: Nagatacho Station | Statement: [Tokyo Metro Hanzomon Line at Nagatacho, connectsToStationComplex, Nagatacho Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsToStationComplex Context triple: [Tokyo Metro Hanzomon Line at Nagatacho, connectsToStationComplex, Nagatacho Station]
-
A.
connectsAtStation
chosen
Indicates that one transportation service or route links to another at a specific station, allowing passengers to transfer between them there.
-
B.
usesTConnectorsAtStations
Indicates that the subject employs T-shaped connectors at stations as part of its configuration or infrastructure.
-
C.
associatedWithStationName
Indicates a relationship where something is linked or connected to a particular station identified by its name.
-
D.
stationComplex
Indicates a relationship where one entity is a station complex that encompasses or is associated with another station-related entity.
-
E.
stationOnLine
Indicates that a particular station is located on or served by a specific transit line.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 22, 2026, 8:35 a.m.