Triple
T8474851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konan, Shiga |
E200363
|
entity |
| Predicate | locatedInRegionOfPrefecture |
P82824
|
FINISHED |
| Object | southern Shiga 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: southern Shiga Prefecture | Statement: [Konan, Shiga, locatedInRegionOfPrefecture, southern Shiga Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInRegionOfPrefecture Context triple: [Konan, Shiga, locatedInRegionOfPrefecture, southern Shiga Prefecture]
-
A.
locatedInPrefectureCapitalRegion
Indicates that the subject is geographically situated within the capital region of a given prefecture.
-
B.
locatedInPrefectureLevelCity
Indicates that one entity is geographically situated within the jurisdiction or boundaries of a prefecture-level city.
-
C.
hasPrefecture
Indicates that one administrative region or country possesses or is associated with a specific prefecture as a subordinate territorial unit.
-
D.
partOfPrefecture
Indicates that one entity is a subdivision or component that belongs administratively or geographically to a given prefecture.
-
E.
hostPrefecture
Indicates the prefecture that serves as the host location for an event, activity, or entity.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f89e0081909e74beb7c8f55653 |
completed | March 31, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69cbd104250c8190b4c499dcc9937494 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:11 p.m.