Triple
T27160169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurozumi school of Shinto |
E682638
|
entity |
| Predicate | scriptureOrText |
P11799
|
FINISHED |
| Object | teachings of Kurozumi Munetada |
—
|
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: teachings of Kurozumi Munetada | Statement: [Kurozumi school of Shinto, scriptureOrText, teachings of Kurozumi Munetada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptureOrText Context triple: [Kurozumi school of Shinto, scriptureOrText, teachings of Kurozumi Munetada]
-
A.
scriptureFor
Indicates that one entity serves as a scriptural or authoritative religious text for another entity (such as a person, group, or belief system).
-
B.
scriptureType
Indicates the classification or category of a scripture in relation to its type or genre.
-
C.
scripturalCorpus
chosen
Indicates that one entity is a body of scriptural or sacred texts associated with, or serving as the canonical writings for, another entity.
-
D.
scriptureRead
Indicates that an entity reads, studies, or engages with a religious or sacred text.
-
E.
recognizesScripturesFrom
Indicates that one entity acknowledges or accepts certain scriptures as authoritative or valid based on another entity as their source or origin.
- 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_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 9:18 a.m.