Triple
T17508679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zayton |
E426391
|
entity |
| Predicate | religiousCommunitiesPresent |
P7903
|
FINISHED |
| Object | Muslims |
—
|
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: Muslims | Statement: [Zayton, religiousCommunitiesPresent, Muslims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousCommunitiesPresent Context triple: [Zayton, religiousCommunitiesPresent, Muslims]
-
A.
religiousGroupsPresent
chosen
Indicates that one or more religious groups are present or represented in a given context, location, or situation.
-
B.
religionsPresent
Indicates that one or more religions are present, practiced, or represented in relation to a given entity or context.
-
C.
religiousBackgroundOfCommunity
Indicates the religious tradition, affiliation, or belief system that characterizes or predominates within a particular community.
-
D.
religiousCommunityServed
Indicates the religious community or faith group that is served, ministered to, or supported by an entity or individual.
-
E.
religiousMinorityCommunity
Indicates a community whose members follow a religion that is numerically or socially less dominant within a larger societal or national 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525985f881909a5ad28b30762680 |
completed | April 19, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.