Triple
T10628581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izumo Taisha Shrine |
E250388
|
entity |
| Predicate | hasGuardianAnimal |
P51902
|
FINISHED |
| Object | sacred rabbits (associated with Ōkuninushi) |
—
|
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: sacred rabbits (associated with Ōkuninushi) | Statement: [Izumo Taisha Shrine, hasGuardianAnimal, sacred rabbits (associated with Ōkuninushi)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGuardianAnimal Context triple: [Izumo Taisha Shrine, hasGuardianAnimal, sacred rabbits (associated with Ōkuninushi)]
-
A.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
B.
hasGuardianCharacter
Indicates that one entity serves as a guardian or protective character for another entity.
-
C.
associatedWithAnimal
chosen
Indicates a relationship where an entity has a connection, link, or relevance to an animal.
-
D.
hasAnimalCollection
Indicates that one entity possesses or maintains a collection or group of animals associated with it.
-
E.
hasPetOwner
Indicates that a person or entity serves as the owner or caretaker of a particular pet.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df9228088190bdd57a95d8671618 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7fae088190973f70c69738af49 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:58 p.m.