Triple
T32957896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokokawa area |
E843153
|
entity |
| Predicate | sisterPrecinctWith |
P175433
|
FINISHED |
| Object | Tōdō area |
—
|
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: Tōdō area | Statement: [Yokokawa area, sisterPrecinctWith, Tōdō area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sisterPrecinctWith Context triple: [Yokokawa area, sisterPrecinctWith, Tōdō area]
-
A.
hasSisterDistrict
Indicates that one district is designated as a sister district to another, typically reflecting a formal partnership or cooperative relationship between them.
-
B.
hasNearbyPrecinct
Indicates that one location has a police precinct or similar administrative station situated close to it in geographic proximity.
-
C.
sisterSubdivision
Indicates that two administrative or organizational subdivisions share a common parent division and are thus parallel or peer units to each other.
-
D.
sisterRegion
Indicates that two regions are paired in a formal or symbolic partnership, typically for cultural, economic, or administrative cooperation.
-
E.
hasSisterCommunity
Indicates a formal or recognized partnership relationship between two communities, often for mutual support, exchange, or collaboration.
- F. None of above. chosen
Provenance (4 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: May 1, 2026, 1:21 a.m.