Triple
T11309674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 交野市 |
E267803
|
entity |
| Predicate | 日本の地方公共団体コード種別 |
P84232
|
FINISHED |
| Object | 市 |
—
|
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: 市 | Statement: [交野市, 日本の地方公共団体コード種別, 市]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 日本の地方公共団体コード種別 Context triple: [交野市, 日本の地方公共団体コード種別, 市]
-
A.
districtCode
Indicates that an entity is associated with, or identified by, a specific administrative district code.
-
B.
都道府県
Indicates a relationship where an entity is a Japanese prefecture or belongs to/pertains to a specific Japanese prefecture.
-
C.
isPrefecturalCityOf
Indicates that a city holds the administrative status of a prefecture-level city within a given region or country.
-
D.
hasLocalGovernmentCode
chosen
Indicates that an entity is associated with a specific code assigned by a local government authority for identification or administrative purposes.
-
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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.