Triple
T32006793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic New Year |
E817289
|
entity |
| Predicate | hasCulturalVariationsInObservance |
P8516
|
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 New Year, hasCulturalVariationsInObservance, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalVariationsInObservance Context triple: [Islamic New Year, hasCulturalVariationsInObservance, true]
-
A.
observanceVariesBy
Indicates that the way in which something is observed, practiced, or kept differs depending on a specified factor such as group, place, or time.
-
B.
observanceMayVaryByCountry
Indicates that the way something is observed, celebrated, or practiced can differ depending on the country.
-
C.
culturalVariation
chosen
Indicates that there are differences in practices, beliefs, or expressions between cultures or within a culture across groups, contexts, or time.
-
D.
observanceMayVaryByYear
Indicates that the way an observance is recognized, scheduled, or practiced can differ from one year to another.
-
E.
hasReligiousObservance
Indicates that an entity practices, observes, or participates in a particular religious rite, ceremony, or tradition.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 1, 2026, 12:15 a.m.