Triple

T8184446
Position Surface form Disambiguated ID Type / Status
Subject Pandua E191146 entity
Predicate religiousArchitectureTypePresent P34373 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: [Pandua, religiousArchitectureTypePresent, mosques]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousArchitectureTypePresent
Context triple: [Pandua, religiousArchitectureTypePresent, mosques]
  • A. religiousSiteType chosen
    Indicates the specific kind or category of religious site associated with an entity (e.g., church, mosque, temple).
  • B. religiousBuildingDesigned
    Indicates that one entity (typically an architect or designer) is responsible for designing a religious building associated with the other entity.
  • C. religiousBuildingManaged
    Indicates that one entity is responsible for overseeing, operating, or administering a religious building associated with another entity.
  • D. religiousHouse
    Indicates that an entity is a religious institution or building used for worship, residence, or activities of a religious community.
  • E. isPlaceOfWorshipFor
    Indicates that a location serves as a site where members of a particular religion or belief system perform worship or religious practices.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c507f248190b599b4a629b7518a completed March 31, 2026, 4:23 a.m.
PD Predicate disambiguation batch_69cb36a7952481908f34e3e82f375a84 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:41 p.m.