Triple
T29295626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malé Atoll |
E742818
|
entity |
| Predicate | hasOfficialReligionOfCountry |
P645
|
FINISHED |
| Object | Islam |
—
|
NE NERFINISHED |
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: Islam | Statement: [Malé Atoll, hasOfficialReligionOfCountry, Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialReligionOfCountry Context triple: [Malé Atoll, hasOfficialReligionOfCountry, Islam]
-
A.
officialReligion
chosen
Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
-
B.
religionInCountry
Indicates that a particular religion is practiced, present, or recognized within a specified country.
-
C.
dominantReligionPolicy
Indicates the policy or stance an authority adopts toward the religion that holds dominant or majority status within a given context.
-
D.
dominantReligion
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
E.
roleInStateReligion
Indicates that an entity holds a specific function, position, or involvement within the officially recognized religion of a state.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 28, 2026, 1:06 p.m.