Triple
T28813530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 濃尾平野 |
E727577
|
entity |
| Predicate | 関連湾 |
P165612
|
FINISHED |
| Object | 伊勢湾沿岸に位置する |
—
|
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: 伊勢湾沿岸に位置する | Statement: [濃尾平野, 関連湾, 伊勢湾沿岸に位置する]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関連湾 Context triple: [濃尾平野, 関連湾, 伊勢湾沿岸に位置する]
-
A.
bayOf
Indicates that one location is a bay that forms an inlet or coastal indentation associated with another geographic entity, such as a sea, ocean, or coastline.
-
B.
locatedInBayOf
Indicates that something is situated within or directly on a specific bay.
-
C.
associatedIsland
Indicates that one entity is related to or connected with a particular island in some relevant way.
-
D.
associatedHarbour
Indicates a relationship where a place, route, or maritime entity is linked to or served by a particular harbour.
-
E.
riverRelation
Indicates a spatial or geographic relationship between one river and another, such as confluence, branching, or relative positioning.
- F. None of above. chosen
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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6596b210481908af6cd555748f75b |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 6:32 a.m.