Triple
T27635400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naiku |
E696455
|
entity |
| Predicate | hasImportantRole |
P27764
|
FINISHED |
| Object | center of sun goddess worship in Shinto |
—
|
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: center of sun goddess worship in Shinto | Statement: [Naiku, hasImportantRole, center of sun goddess worship in Shinto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImportantRole Context triple: [Naiku, hasImportantRole, center of sun goddess worship in Shinto]
-
A.
hasNotableRoleIn
chosen
Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
-
B.
hasCapitalRole
Indicates that an entity holds an official role, function, or status specifically associated with a capital city.
-
C.
hasMainRole
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
-
D.
hasGoverningRole
Indicates that one entity holds an official position of authority, control, or governance over another entity or domain.
-
E.
isKeyRole
Indicates that an entity holds a primary or critically important role within a given context or structure.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 2:23 p.m.