Triple
T16967888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 津山市 |
E411588
|
entity |
| Predicate | hasPreservationDistrict |
P295
|
FINISHED |
| Object | 城東町並み保存地区 |
—
|
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: 城東町並み保存地区 | Statement: [津山市, hasPreservationDistrict, 城東町並み保存地区]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPreservationDistrict Context triple: [津山市, hasPreservationDistrict, 城東町並み保存地区]
-
A.
hasHistoricDistrict
chosen
Indicates that an entity possesses or contains a designated historic district within its boundaries or domain.
-
B.
hasHistoricPreservationOverlayZone
Indicates that a property or area is designated within a special zoning district established to protect its historic character or features.
-
C.
isHistoricDistrictCandidate
Indicates that an area or neighborhood is being considered or evaluated for designation as a historic district.
-
D.
hasHistoricDistrictAssociation
Indicates a relationship in which an entity is associated with, linked to, or part of a designated historic district.
-
E.
sharesHistoricDistrictWith
Indicates that two entities are located within or associated with the same designated historic district.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a6f628819080db47285954729a |
completed | April 18, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:31 a.m.