Triple
T27385056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kii Province |
E691346
|
entity |
| Predicate | hadMajorShrine |
P21389
|
FINISHED |
| Object | Kumano Hongu Taisha |
—
|
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: Kumano Hongu Taisha | Statement: [Kii Province, hadMajorShrine, Kumano Hongu Taisha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadMajorShrine Context triple: [Kii Province, hadMajorShrine, Kumano Hongu Taisha]
-
A.
hasMajorShrine
chosen
Indicates that one entity serves as a principal or primary shrine dedicated to another entity.
-
B.
majorShrineLocation
Indicates that a major religious shrine is located at or associated with a particular place or geographic location.
-
C.
isMostSacredShrineOf
Indicates that one entity is regarded as the holiest or most sacred shrine associated with another entity (such as a deity, religion, or tradition).
-
D.
hasShrinesIn
Indicates that one entity possesses or maintains shrines that are located within the area or domain of another entity.
-
E.
shrineCity
Indicates that a city is the location of, or is associated with, a particular shrine.
- 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_69ef520386788190bc92cfcd97ebb67a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 12:24 p.m.