Triple
T25410852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinana tribe |
E636690
|
entity |
| Predicate | religion (later majority) |
P65862
|
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: [Kinana tribe, religion (later majority), Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religion (later majority) Context triple: [Kinana tribe, religion (later majority), Islam]
-
A.
dominantReligion
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
B.
hadMajorReligion
Indicates that a particular religion was the primary or dominant faith practiced within a given entity (such as a region, state, or population) during a specified period.
-
C.
laterReligionDominant
chosen
Indicates that a religion adopted or followed at a later time becomes the dominant or primary religion in the relevant context or entity.
-
D.
religionMinority
Indicates that the subject’s religion is a minority faith within the relevant population or context.
-
E.
dominantReligionLegacy
Indicates that a historically dominant religion has left a lasting influence or heritage on a society, culture, or region.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 21, 2026, 1:53 p.m.