Triple
T8011688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izumo Taishakyo |
E186507
|
entity |
| Predicate | usesScriptureType |
P80557
|
FINISHED |
| Object | norito (Shinto liturgical prayers) |
—
|
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: norito (Shinto liturgical prayers) | Statement: [Izumo Taishakyo, usesScriptureType, norito (Shinto liturgical prayers)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesScriptureType Context triple: [Izumo Taishakyo, usesScriptureType, norito (Shinto liturgical prayers)]
-
A.
scriptureType
Indicates the classification or category of a scripture in relation to its type or genre.
-
B.
recognizesScripturesFrom
Indicates that one entity acknowledges or accepts certain scriptures as authoritative or valid based on another entity as their source or origin.
-
C.
hasViewOnScripture
Indicates that an entity holds a particular interpretive stance or doctrinal position regarding scripture.
-
D.
hasScripture
Indicates that one entity possesses, is associated with, or is defined by a particular scripture or set of scriptural texts.
-
E.
scriptureFor
Indicates that one entity serves as a scriptural or authoritative religious text for another entity (such as a person, group, or belief system).
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d722fbc8190b22745b581421f16 |
completed | March 31, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:19 p.m.