Triple
T37061665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 守口市 |
E917337
|
entity |
| Predicate | 所属広域連合 |
P15149
|
FINISHED |
| Object | 大阪府都市協議会の一員 |
—
|
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: 大阪府都市協議会の一員 | Statement: [守口市, 所属広域連合, 大阪府都市協議会の一員]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所属広域連合 Context triple: [守口市, 所属広域連合, 大阪府都市協議会の一員]
-
A.
関与地域
Indicates a geographical area or region that is involved in, affected by, or relevant to a particular activity, event, or relationship.
-
B.
hasRegionalAffiliation
Indicates that an entity is associated with, belongs to, or is officially linked to a specific geographic region.
-
C.
servesAsTerritorialBaseFor
Indicates that a place or area functions as the primary territorial base or stronghold from which an entity operates or exerts influence.
-
D.
belongsToIntercommunality
chosen
Indicates that an entity is a member of, or administratively attached to, a specific intercommunal structure or grouping.
-
E.
partOfPrefecture
Indicates that one entity is a subdivision or component that belongs administratively or geographically to a given prefecture.
- 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.