Triple
T28559502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otsu, Shiga |
E723096
|
entity |
| Predicate | hasPrefectureGovernmentOffice |
P85336
|
FINISHED |
| Object | Shiga Prefectural Government |
—
|
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: Shiga Prefectural Government | Statement: [Otsu, Shiga, hasPrefectureGovernmentOffice, Shiga Prefectural Government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrefectureGovernmentOffice Context triple: [Otsu, Shiga, hasPrefectureGovernmentOffice, Shiga Prefectural Government]
-
A.
hasPrefecturalOffice
chosen
Indicates that a given location or administrative unit contains or hosts an official prefectural government office.
-
B.
hasPrefecture
Indicates that one administrative region or country possesses or is associated with a specific prefecture as a subordinate territorial unit.
-
C.
hasPrefecturalCapitalFunction
Indicates that an entity serves as the administrative capital or main governmental center of a prefecture.
-
D.
prefectureOfHeadquarters
Indicates the administrative prefecture in which an organization's headquarters is located.
-
E.
isPrefecture
Indicates that one entity functions as an administrative prefecture governing or representing the other entity.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 28, 2026, 3:47 a.m.