Triple
T35961216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aghdam region |
E1039998
|
entity |
| Predicate | religionMajorityBeforeConflict |
P2986
|
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: [Aghdam region, religionMajorityBeforeConflict, Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionMajorityBeforeConflict Context triple: [Aghdam region, religionMajorityBeforeConflict, Islam]
-
A.
laterReligionDominant
Indicates that a religion adopted or followed at a later time becomes the dominant or primary religion in the relevant context or entity.
-
B.
dominantReligion
chosen
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
C.
dominantReligionLegacy
Indicates that a historically dominant religion has left a lasting influence or heritage on a society, culture, or region.
-
D.
hasReligionOfBelligerents
Indicates that the belligerent parties in a conflict are associated with a particular religion or religious affiliation.
-
E.
householdReligionBeforeUmarConversion
Indicates that the religion practiced by a household is the one followed prior to Umar’s conversion.
- 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffc605b0648190a7abe9128b0d857a |
completed | May 9, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69ffc5742d80819099f947ece78d5700 |
completed | May 9, 2026, 11:38 p.m. |
Created at: May 3, 2026, 4:07 p.m.