Triple
T544052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauritania |
E12692
|
entity |
| Predicate | religionStatus |
P645
|
FINISHED |
| Object | Islam is state religion |
—
|
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: Islam is state religion | Statement: [Mauritania, religionStatus, Islam is state religion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionStatus Context triple: [Mauritania, religionStatus, Islam is state religion]
-
A.
religiousStatus
Indicates the religious affiliation, role, or standing that an entity holds within a religious context.
-
B.
legalStatusOfReligion
Indicates the formal legal standing, recognition, and regulatory conditions of a religion within a given jurisdiction or political entity.
-
C.
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).
-
D.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
E.
statusInChristianity
Indicates the recognized role, standing, or significance that something or someone holds within Christian belief, practice, or tradition.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498dea88881908a938fe8f2313bec |
completed | March 1, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69a494b8098481908097228db8ad0262 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.