Triple
T38096695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyōbashi commercial area |
E951262
|
entity |
| Predicate | railwayLinesAtHub |
P848
|
FINISHED |
| Object | JR West lines |
E678024
|
NE 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: JR West lines | Statement: [Kyōbashi commercial area, railwayLinesAtHub, JR West lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayLinesAtHub Context triple: [Kyōbashi commercial area, railwayLinesAtHub, JR West lines]
-
A.
railwayConnectsTo
Indicates that one railway line, track, or network is directly linked or joined to another, allowing trains to move between them.
-
B.
railwayLine
chosen
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
-
C.
railInfrastructureServed
Indicates that a rail infrastructure facility or segment is served, accessed, or operated by a particular service, operator, or network.
-
D.
railwayLineNow
Indicates that a previously existing railway line has been replaced, succeeded, or is currently represented by a new or different railway line.
-
E.
railLineOrigin
Indicates that a rail line begins or originates from a specified location or point.
- F. None of above.
Provenance (4 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_69f76f04960c8190a83f14ae4c67f5bc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41680ded8c8190aa532d7db50c9279 |
completed | June 28, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: May 3, 2026, 4:21 p.m.