Triple

T12253471
Position Surface form Disambiguated ID Type / Status
Subject Andaandi E292034 entity
Predicate usedByReligionCommunity P56479 FINISHED
Object Muslim communities in northern Sudan 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: Muslim communities in northern Sudan | Statement: [Andaandi, usedByReligionCommunity, Muslim communities in northern Sudan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedByReligionCommunity
Context triple: [Andaandi, usedByReligionCommunity, Muslim communities in northern Sudan]
  • A. isUsedByReligion chosen
    Indicates that something (such as an object, practice, text, or symbol) is employed or utilized within the context of a particular religion.
  • B. religiousBackgroundOfCommunity
    Indicates the religious tradition, affiliation, or belief system that characterizes or predominates within a particular community.
  • C. usedReligionFor
    Indicates that an entity employed religion as a means or tool to achieve some purpose, goal, or effect.
  • D. religiousCommunityServed
    Indicates the religious community or faith group that is served, ministered to, or supported by an entity or individual.
  • E. religiousGroupsPresent
    Indicates that one or more religious groups are present or represented in a given context, location, or situation.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d38ee10819093ed41d2954bf4ef completed April 10, 2026, 3:54 p.m.
PD Predicate disambiguation batch_69d91c46dcd88190a263db30804bff36 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:52 p.m.