Triple

T18745647
Position Surface form Disambiguated ID Type / Status
Subject Jolo E458397 entity
Predicate religiousInstitutionDominant P109749 FINISHED
Object mosques 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: mosques | Statement: [Jolo, religiousInstitutionDominant, mosques]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousInstitutionDominant
Context triple: [Jolo, religiousInstitutionDominant, mosques]
  • A. dominantReligion
    Indicates the religion that holds primary or majority status within a given group, region, or entity.
  • B. laterReligionDominant
    Indicates that a religion adopted or followed at a later time becomes the dominant or primary religion in the relevant context or entity.
  • C. isMajorReligiousInstitutionIn chosen
    Indicates that a major religious institution (such as a church, mosque, temple, or similar body) is located within or primarily based in a specified place or region.
  • D. religiousEnvironment
    Indicates the religious context, atmosphere, or setting in which an entity exists or an action takes place.
  • E. religiousInstitutionShared
    Indicates that two entities are associated with or participate in the same religious institution or organization.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e57692c380819091e8a919ab6c9ca9 completed April 20, 2026, 12:42 a.m.
PD Predicate disambiguation batch_69e48d03766c8190a43f7681842f4f8d completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:51 a.m.