Triple
T36612458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hōrai-ji Temple |
E903503
|
entity |
| Predicate | prefectureCapitalNearest |
P60387
|
FINISHED |
| Object | Nagoya |
—
|
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: Nagoya | Statement: [Hōrai-ji Temple, prefectureCapitalNearest, Nagoya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prefectureCapitalNearest Context triple: [Hōrai-ji Temple, prefectureCapitalNearest, Nagoya]
-
A.
prefectureCapitalNearby
chosen
Indicates that a prefecture’s capital city is geographically close to the referenced location.
-
B.
prefectureCapitalDistance
Indicates the distance between a prefecture and its designated capital city.
-
C.
prefectureCapital
Indicates that a city serves as the administrative capital of a given prefecture.
-
D.
subprefectureCapital
Indicates that one entity serves as the administrative capital or seat of government for a given subprefecture.
-
E.
prefecturalCapitalDistanceRelation
Indicates a spatial relationship specifying the distance between an entity and the capital city of its prefecture.
- 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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.