Triple
T9718707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic holidays |
E235406
|
entity |
| Predicate | varyBySect |
P3474
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Islamic holidays, varyBySect, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: varyBySect Context triple: [Islamic holidays, varyBySect, true]
-
A.
structureVariesBy
Indicates that the structure or configuration of one entity changes depending on or is different for another specified factor or context.
-
B.
viewVariesAmong
chosen
Indicates that the way something is viewed, perceived, or interpreted differs across multiple entities or contexts.
-
C.
compositionVariesBy
Indicates that the composition of something differs depending on a specified factor, condition, or context.
-
D.
typicalSection
Indicates that one section is a standard, representative, or commonly occurring instance within a broader set or structure of sections.
-
E.
guardedSectionOf
Indicates a relationship where one entity serves as a protective or security boundary for a specific section or portion of another entity.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e3ea61081908a5671fc5be9a738 |
completed | April 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69cd03bfeca08190924fca43aaa9c10f |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:20 p.m.