Triple
T66902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islam |
E1333
|
entity |
| Predicate | hasReligiousLawConcept |
P2154
|
FINISHED |
| Object | halal |
—
|
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: halal | Statement: [Islam, hasReligiousLawConcept, halal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousLawConcept Context triple: [Islam, hasReligiousLawConcept, halal]
-
A.
religiousFunction
Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
-
B.
religiousElement
chosen
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
C.
isAbrahamicTradition
Indicates that a religious tradition belongs to the family of faiths historically derived from the beliefs and practices of Abraham.
-
D.
hasRiteOrTradition
Indicates that an entity is associated with, practices, or observes a particular rite, ritual, or tradition.
-
E.
dominantReligionPolicy
Indicates the policy or stance an authority adopts toward the religion that holds dominant or majority status within a given 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a2509b5a088190bb9d2b650aeb8bca |
completed | Feb. 28, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69a24ea749788190bc17865171ff909a |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.