Triple
T29449308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokeidai |
E746932
|
entity |
| Predicate | municipalDesignation |
P128493
|
FINISHED |
| Object | Tangible Cultural Property of Sapporo |
—
|
NE NERFINISHED |
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: Tangible Cultural Property of Sapporo | Statement: [Tokeidai, municipalDesignation, Tangible Cultural Property of Sapporo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: municipalDesignation Context triple: [Tokeidai, municipalDesignation, Tangible Cultural Property of Sapporo]
-
A.
cityPlanningDesignation
Indicates how an area is officially classified or designated within urban or municipal planning (e.g., residential, commercial, industrial).
-
B.
communityDesignation
chosen
Indicates that an entity is formally assigned or recognized with a specific community-related status, label, or role.
-
C.
isMunicipal
Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
-
D.
municipalCountrySubdivision
Indicates that one administrative area functions as a municipal-level subdivision within the territory of a given country.
-
E.
mapDesignation
Indicates a formal label or identifier that is assigned to something specifically for use on a map.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 28, 2026, 3:31 p.m.