Triple
T27160181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurozumi school of Shinto |
E682638
|
entity |
| Predicate | viewOnKami |
P57146
|
FINISHED |
| Object | kami present in natural phenomena, especially the sun |
—
|
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: kami present in natural phenomena, especially the sun | Statement: [Kurozumi school of Shinto, viewOnKami, kami present in natural phenomena, especially the sun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnKami Context triple: [Kurozumi school of Shinto, viewOnKami, kami present in natural phenomena, especially the sun]
-
A.
viewOnForms
Indicates that one entity has a particular perspective, opinion, or stance regarding forms, form-related processes, or form usage.
-
B.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
C.
viewOnMatter
chosen
Indicates a stance, opinion, or perspective that one entity holds regarding a particular issue, topic, or matter.
-
D.
viewedBy
Indicates that something has been seen, observed, or watched by a particular entity.
-
E.
viewOnKnowledge
Indicates the perspective, stance, or opinion one entity holds regarding another entity’s knowledge or understanding.
- 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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 9:18 a.m.