Triple
T34410934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onjō-ji |
E883262
|
entity |
| Predicate | isHeadTempleOf |
P8490
|
FINISHED |
| Object | Jimon school of Tendai |
—
|
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: Jimon school of Tendai | Statement: [Onjō-ji, isHeadTempleOf, Jimon school of Tendai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHeadTempleOf Context triple: [Onjō-ji, isHeadTempleOf, Jimon school of Tendai]
-
A.
isNumberedTempleOf
Indicates that one entity is a specific, designated temple identified by a particular number within a series or system associated with another entity.
-
B.
hasTempleOf
Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
-
C.
mainTemple
chosen
Indicates that one entity serves as the primary or central temple associated with another entity.
-
D.
locatedInHeadTempleCity
Indicates that something is situated within the head (main) temple of a particular city.
-
E.
templeName
Indicates that an entity is identified by or associated with the name of a temple.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71947ad88819082ab9d85dd493b01 |
completed | May 3, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.