Triple
T36802461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neolog reforms |
E909356
|
entity |
| Predicate | hasViewOnRitual |
P62708
|
FINISHED |
| Object | selective modification of traditional practices |
—
|
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: selective modification of traditional practices | Statement: [Neolog reforms, hasViewOnRitual, selective modification of traditional practices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViewOnRitual Context triple: [Neolog reforms, hasViewOnRitual, selective modification of traditional practices]
-
A.
viewOnRitual
chosen
Indicates a subject’s perspective, attitude, or interpretation regarding a particular ritual or ritual practice.
-
B.
hasRitual
Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
-
C.
hasRituals
Indicates that one entity performs, observes, or is associated with specific rituals in relation to another entity or context.
-
D.
usesRitually
Indicates that an entity employs or performs something as part of a ritual or ceremonial practice.
-
E.
hasRitualObject
Indicates that an entity possesses, uses, or is associated with an object specifically employed in a ritual or ceremonial context.
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: May 3, 2026, 4:12 p.m.