Triple
T37061205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 芥川 |
E917328
|
entity |
| Predicate | 合流点の自治体 |
P11842
|
FINISHED |
| Object | 高槻市 |
—
|
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: 高槻市 | Statement: [芥川, 合流点の自治体, 高槻市]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 合流点の自治体 Context triple: [芥川, 合流点の自治体, 高槻市]
-
A.
hasMunicipalConsolidationWith
Indicates that two or more municipalities have been officially merged or unified into a single administrative entity or structure.
-
B.
isBelievedToBeConfluenceOf
Indicates that something is regarded or considered to be the point where multiple elements, sources, or influences come together.
-
C.
結ぶ地点
Indicates a relationship where specific points are connected or linked together, often as endpoints of a line, path, or connection.
-
D.
locatedAtConfluenceOf
chosen
Indicates that something is situated at the meeting point where two or more bodies of water or similar flowing features join together.
-
E.
hasRiverConfluenceFunction
Indicates that something serves as a location or feature where two or more rivers meet and merge their flows.
- 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.