Triple
T21359640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etchū Province |
E526735
|
entity |
| Predicate | hadProvincialTemple |
P88157
|
FINISHED |
| Object | Etchū Kokubun-ji |
—
|
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: Etchū Kokubun-ji | Statement: [Etchū Province, hadProvincialTemple, Etchū Kokubun-ji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadProvincialTemple Context triple: [Etchū Province, hadProvincialTemple, Etchū Kokubun-ji]
-
A.
hasTempleOf
Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
-
B.
hadTempleDedicatedTo
Indicates that a temple was formally dedicated in honor of, or for the worship of, a particular entity.
-
C.
hasHistoricTemple
Indicates that an entity possesses, contains, or is associated with a temple of historical significance.
-
D.
hasTempleLocation
chosen
Indicates that a temple is located at or associated with a specific place or geographic location.
-
E.
hasTempleDistrict
Indicates that a place or settlement contains or is associated with a designated temple district area.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bad6a308190a9665734a0fb5f55 |
completed | April 26, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:07 p.m.