Triple
T20094881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanuki |
E496372
|
entity |
| Predicate | belongsToPrefecturalRegion |
P82824
|
FINISHED |
| Object | eastern Kagawa Prefecture |
—
|
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: eastern Kagawa Prefecture | Statement: [Sanuki, belongsToPrefecturalRegion, eastern Kagawa Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToPrefecturalRegion Context triple: [Sanuki, belongsToPrefecturalRegion, eastern Kagawa Prefecture]
-
A.
locatedInRegionOfPrefecture
chosen
Indicates that one entity is geographically situated within a specific region that belongs to or is administered as part of a given prefecture.
-
B.
isPrefecture
Indicates that one entity functions as an administrative prefecture governing or representing the other entity.
-
C.
hasPrefecture
Indicates that one administrative region or country possesses or is associated with a specific prefecture as a subordinate territorial unit.
-
D.
accessPrefecture
Indicates that an entity has access to, or is associated with accessing, a specific prefecture.
-
E.
prefectureOfHeadquarters
Indicates the administrative prefecture in which an organization's headquarters is located.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666b891c8190b4e4a60b73728771 |
completed | April 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:24 p.m.