Triple
T24920876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 上京区 |
E618716
|
entity |
| Predicate | partOfImperialCapitalArea |
P133942
|
FINISHED |
| Object | 京都御所周辺 |
—
|
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: 京都御所周辺 | Statement: [上京区, partOfImperialCapitalArea, 京都御所周辺]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfImperialCapitalArea Context triple: [上京区, partOfImperialCapitalArea, 京都御所周辺]
-
A.
partOfHistoricalArea
chosen
Indicates that one entity is located within or belongs to a designated historical area or heritage zone.
-
B.
isPartOfCapitalCityOf
Indicates that something is a constituent or component of the capital city belonging to a particular political or administrative entity.
-
C.
partOfDynasticComplex
Indicates that one entity is a constituent element or subdivision within a larger dynastic complex or ruling lineage structure.
-
D.
partOfMetropolitanArea
Indicates that one place is included within and belongs to the larger metropolitan area of another place.
-
E.
belongsToNationCapitalArea
Indicates that something is part of, or located within, the capital-area region of a specified nation.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 18, 2026, 5:28 a.m.