Triple
T3261242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sokoto State |
E68412
|
entity |
| Predicate | religiousDemography |
P2986
|
FINISHED |
| Object | predominantly Muslim |
—
|
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: predominantly Muslim | Statement: [Sokoto State, religiousDemography, predominantly Muslim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousDemography Context triple: [Sokoto State, religiousDemography, predominantly Muslim]
-
A.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
B.
dominantReligion
chosen
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
C.
religionMinority
Indicates that the subject’s religion is a minority faith within the relevant population or context.
-
D.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
-
E.
religiousCharacteristic
Indicates that one entity has a religious attribute, quality, or affiliation that characterizes or distinguishes it in a religious 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafa7fea08190b089b6174fd7cd32 |
completed | March 8, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.