Triple
T28356395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazue-machi Chaya District |
E718240
|
entity |
| Predicate | sisterAreaWith |
P20763
|
FINISHED |
| Object | Higashi Chaya District |
—
|
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: Higashi Chaya District | Statement: [Kazue-machi Chaya District, sisterAreaWith, Higashi Chaya District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sisterAreaWith Context triple: [Kazue-machi Chaya District, sisterAreaWith, Higashi Chaya District]
-
A.
hasSiblingArea
Indicates that one area is a sibling of another area, meaning they share the same parent area and are at the same hierarchical level.
-
B.
sisterRegion
Indicates that two regions are paired in a formal or symbolic partnership, typically for cultural, economic, or administrative cooperation.
-
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.
sisterSubdivision
Indicates that two administrative or organizational subdivisions share a common parent division and are thus parallel or peer units to each other.
-
E.
sisterVenue
Indicates that two venues are related as peers or counterparts, typically sharing ownership, branding, or affiliation without one being subordinate to the other.
- 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_69eff6ec27b481908c8d7b86c47893d9 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64c2e601c81909a9a96c019858669 |
completed | May 2, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 12:49 a.m.