Triple
T37865068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 嵯峨嵐山駅 |
E944447
|
entity |
| Predicate | railwayOperatorAbbrev |
P42458
|
FINISHED |
| Object | JR西日本 |
—
|
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: JR西日本 | Statement: [嵯峨嵐山駅, railwayOperatorAbbrev, JR西日本]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayOperatorAbbrev Context triple: [嵯峨嵐山駅, railwayOperatorAbbrev, JR西日本]
-
A.
hasRailTransportOperator
Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
-
B.
formerRailOperator
Indicates that an entity previously operated a rail service or railway system but no longer does so.
-
C.
operatingCompanyAbbreviation
chosen
Indicates that the object is an abbreviated or shortened form of the name of the company that operates the subject.
-
D.
railwayCompanyCode
Indicates the identifying code assigned to a railway company that operates or manages the related railway entity.
-
E.
railwayCompanyOnRoute
Indicates that a particular railway company operates or provides service on a specified route.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:19 p.m.