Triple
T22924738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Maragha |
E569269
|
entity |
| Predicate | hasPrimaryReligionCountry |
P2986
|
FINISHED |
| Object | Sunni Islam |
—
|
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: Sunni Islam | Statement: [El Maragha, hasPrimaryReligionCountry, Sunni Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryReligionCountry Context triple: [El Maragha, hasPrimaryReligionCountry, Sunni Islam]
-
A.
religionInCountry
Indicates that a particular religion is practiced, present, or recognized within a specified country.
-
B.
dominantReligion
chosen
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
C.
hasPrimaryReligionComplex
Indicates that an entity is primarily associated with, practices, or is characterized by a particular religion or religious complex.
-
D.
hasPrimaryReligionOfRulers
Indicates that the specified religion is the main or official faith practiced or endorsed by the rulers of an entity.
-
E.
laterReligionDominant
Indicates that a religion adopted or followed at a later time becomes the dominant or primary religion in the relevant context or 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d84fc08190b747c3f9052c657a |
completed | April 29, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:43 p.m.