Triple

T11632952
Position Surface form Disambiguated ID Type / Status
Subject Imam E276444 entity
Predicate roleInMosque P100106 FINISHED
Object prayer leader 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: prayer leader | Statement: [Imam, roleInMosque, prayer leader]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInMosque
Context triple: [Imam, roleInMosque, prayer leader]
  • A. roleInMecca
    Indicates that an entity holds or performs a specific role, function, or position in the context of Mecca.
  • B. roleAtTemple
    Indicates that an entity holds or performs a specific role, function, or position at a particular temple.
  • C. roleInIslamicTeaching
    Indicates the specific function, status, or significance an entity holds within Islamic religious teachings, doctrines, or educational contexts.
  • D. roleInIslamicLaw
    Indicates the specific function, status, or authority an entity holds within the framework of Islamic legal principles and institutions.
  • E. roleInHadith
    Indicates the specific function, position, or participation an entity has within the context or transmission of a hadith.
  • F. None of above. chosen

Provenance (4 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25aa9188190ab13d79139f37e7e completed April 10, 2026, 7:10 a.m.
PD Predicate disambiguation batch_69d85dd94bdc819091fa2ed33eb31624 completed April 10, 2026, 2:18 a.m.
PDg Predicate description generation batch_69d87f30642c8190ad94fa061cde186b completed April 10, 2026, 4:40 a.m.
Created at: April 8, 2026, 9:39 p.m.