Triple
T30264220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokawa area |
E769590
|
entity |
| Predicate | sisterPrecinct |
P20763
|
FINISHED |
| Object | Tō-dō area |
—
|
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: Tō-dō area | Statement: [Yokawa area, sisterPrecinct, Tō-dō area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sisterPrecinct Context triple: [Yokawa area, sisterPrecinct, Tō-dō area]
-
A.
sisterSubdivision
Indicates that two administrative or organizational subdivisions share a common parent division and are thus parallel or peer units to each other.
-
B.
partOfPrecinct
Indicates that one entity is a subdivision or component contained within a specific precinct.
-
C.
hasSisterDistrict
chosen
Indicates that one district is designated as a sister district to another, typically reflecting a formal partnership or cooperative relationship between them.
-
D.
policePrecinct
Indicates that a specified location, building, or area functions as or is designated as a police precinct.
-
E.
hasNearbyPrecinct
Indicates that one location has a police precinct or similar administrative station situated close to it in geographic proximity.
- 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_69f22484a5f48190b678cd607700bc82 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f680ab3ba481908d75676fef98820f |
completed | May 2, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:42 p.m.