Triple
T37060859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR片町線 |
E917319
|
entity |
| Predicate | 結ぶ地域 |
P169038
|
FINISHED |
| Object | 大阪府東部 |
—
|
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: 大阪府東部 | Statement: [JR片町線, 結ぶ地域, 大阪府東部]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 結ぶ地域 Context triple: [JR片町線, 結ぶ地域, 大阪府東部]
-
A.
結ぶ地点
Indicates a relationship where specific points are connected or linked together, often as endpoints of a line, path, or connection.
-
B.
関与地域
chosen
Indicates a geographical area or region that is involved in, affected by, or relevant to a particular activity, event, or relationship.
-
C.
isRegionalSubdivisionOf
Indicates that one region functions as an administrative or geographic subdivision within a larger region.
-
D.
regionOfJapan
Indicates that one entity is a geographic region that is part of, or located within, Japan.
-
E.
regionallyAssociatedWith
Indicates that two entities are connected or related based on sharing the same or overlapping geographic or regional context.
- 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.