Triple
T951270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heihachiro Togo |
E20526
|
entity |
| Predicate | hasPartInCanonization |
P21618
|
FINISHED |
| Object | enshrined at Nishi Hongan-ji (as a national hero) |
—
|
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: enshrined at Nishi Hongan-ji (as a national hero) | Statement: [Heihachiro Togo, hasPartInCanonization, enshrined at Nishi Hongan-ji (as a national hero)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInCanonization Context triple: [Heihachiro Togo, hasPartInCanonization, enshrined at Nishi Hongan-ji (as a national hero)]
-
A.
canonizedAs
Indicates that an authority, typically a religious institution, has formally declared someone to be a saint or holy figure.
-
B.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
C.
hasCanonicalNumber
Indicates that an entity is associated with its officially recognized or standard reference number.
-
D.
hasClosedCanon
Indicates that a body of authoritative texts is considered complete and no additional works can be added to it.
-
E.
hasCanonicalReference
Indicates that one entity serves as the authoritative or standard reference source for another entity.
- F. None of above. chosen
Provenance (4 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3d62e408190855b2883407f6c6b |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a045308190ab94f3adab40db8d |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b30efd2c8190b780a6dee086d0aa |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:40 p.m.