Triple
T28426460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ミナミ |
E720090
|
entity |
| Predicate | 関連地域区分 |
P86016
|
FINISHED |
| Object | 大阪都心3都心の一部とされることがある |
—
|
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: 大阪都心3都心の一部とされることがある | Statement: [ミナミ, 関連地域区分, 大阪都心3都心の一部とされることがある]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関連地域区分 Context triple: [ミナミ, 関連地域区分, 大阪都心3都心の一部とされることがある]
-
A.
associatedRegionFeature
Indicates that something is linked or connected to a particular geographic or regional feature.
-
B.
regionOfAssociation
chosen
Indicates a broader geographic or spatial area with which an entity is functionally, contextually, or organizationally associated.
-
C.
所在地エリア
Indicates the geographical area or region in which an entity is located or based.
-
D.
associatedAdministrativeRegion
Indicates that an entity is linked to, or falls under the jurisdiction of, a particular administrative region.
-
E.
regionalType
Indicates the classification of a region according to its designated type or category within a broader geographic or administrative system.
- 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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 1:37 a.m.