Triple

T38385460
Position Surface form Disambiguated ID Type / Status
Subject Kudüs-i Şerif Mutasarrıflığı E899566 entity
Predicate religionsAssociated P102165 FINISHED
Object Islam 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: Islam | Statement: [Kudüs-i Şerif Mutasarrıflığı, religionsAssociated, Islam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religionsAssociated
Context triple: [Kudüs-i Şerif Mutasarrıflığı, religionsAssociated, Islam]
  • A. associatedReligionText
    Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
  • B. associatedReligionOrBelief chosen
    Indicates that an entity is connected to, identified with, or characterized by a particular religion or belief system.
  • C. religiousObjectAssociated
    Indicates that a religious object is associated with, connected to, or used in relation to another entity (such as a person, place, event, or practice).
  • D. religionHistoricallyAssociated
    Indicates a historical association between an entity and a particular religion, based on past practice, tradition, or cultural linkage rather than current or official status.
  • E. associatedReligionInTexts
    Indicates that a particular religion is mentioned or linked in written texts in connection with the given entity.
  • 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_69f76e5c9b808190b486523f5c2f817d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a005d878aec81908e1177914a8fb610 completed May 10, 2026, 10:27 a.m.
PD Predicate disambiguation batch_6a005c382f8881908ff33ebb7f88c430 completed May 10, 2026, 10:21 a.m.
Created at: May 3, 2026, 4:31 p.m.