Triple
T27971276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reitaisai (grand festival) |
E706361
|
entity |
| Predicate | associatedShrineRank |
P27875
|
FINISHED |
| Object | ichinomiya of Buzen Province |
—
|
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: ichinomiya of Buzen Province | Statement: [Reitaisai (grand festival), associatedShrineRank, ichinomiya of Buzen Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedShrineRank Context triple: [Reitaisai (grand festival), associatedShrineRank, ichinomiya of Buzen Province]
-
A.
shrineRank
Indicates the hierarchical or status level assigned to a shrine relative to other shrines.
-
B.
associatedShrine
chosen
Indicates that there is a specific shrine linked or connected to the given entity, typically as its dedicated or related place of worship or reverence.
-
C.
associatedShrineComplex
Indicates that one entity is linked or connected to a particular shrine complex, typically through location, function, or religious association.
-
D.
recognizedAsShrineBy
Indicates that something is regarded or designated as a shrine by a particular person, group, or authority.
-
E.
shrineType
Indicates the specific category or kind of shrine associated with an 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_6a009f53a4948190aef4ede1713e1748 |
completed | May 10, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_6a009edc53d4819080b22c1074a990f3 |
completed | May 10, 2026, 3:06 p.m. |
Created at: April 27, 2026, 7:38 p.m.