Triple

T1453809
Position Surface form Disambiguated ID Type / Status
Subject Blue Mosque E31351 entity
Predicate hasMadrasa P3445 FINISHED
Object former madrasa complex 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: former madrasa complex | Statement: [Blue Mosque, hasMadrasa, former madrasa complex]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMadrasa
Context triple: [Blue Mosque, hasMadrasa, former madrasa complex]
  • A. isStudiedIn
    Indicates that a subject (such as a topic, field, or phenomenon) is examined, researched, or learned about within a particular context, environment, or discipline.
  • B. studiedUnder
    Indicates that one entity received instruction, training, or mentorship from another, typically in an academic or apprenticeship context.
  • C. hasSchool
    Indicates that an entity possesses, is associated with, or is served by a particular school.
  • D. containsEducationalInstitution chosen
    Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
  • E. isEducationalCenterOf
    Indicates that an institution functions as the primary educational center serving, representing, or associated with a particular area, organization, or group.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57e82d48190a30a4512f39f5de0 completed March 1, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69a4c47cdbd0819092022344a2f4ad7b completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8 p.m.