Triple
T37060857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR片町線 |
E917319
|
entity |
| Predicate | 旧路線名 |
P17520
|
FINISHED |
| Object | 片町線 |
—
|
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: 片町線 | Statement: [JR片町線, 旧路線名, 片町線]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 旧路線名 Context triple: [JR片町線, 旧路線名, 片町線]
-
A.
formerLineName
chosen
Indicates that the object is a previous or former name by which the referenced line was known.
-
B.
formerRouteNumber
Indicates that an entity previously had a specific route number before being renumbered, discontinued, or otherwise changed.
-
C.
hasFormerStreetName
Indicates that an entity (such as a street or place) was previously known by a different street name.
-
D.
originalRailroadName
Indicates the name of the railroad as it was originally known or designated, before any later changes such as mergers, rebrandings, or renamings.
-
E.
lineName
Indicates the specific name or designation assigned to a particular line (such as a route, path, or service) that distinguishes it from other lines.
- 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.