Triple

T26547175
Position Surface form Disambiguated ID Type / Status
Subject Osmanlı Devleti’nin İlmiye Teşkilâtı E671566 entity
Predicate kapsam P160622 FINISHED
Object Osmanlı’nın çeşitli dönemlerinde ilmiyye yapısındaki değişimler 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: Osmanlı’nın çeşitli dönemlerinde ilmiyye yapısındaki değişimler | Statement: [Osmanlı Devleti’nin İlmiye Teşkilâtı, kapsam, Osmanlı’nın çeşitli dönemlerinde ilmiyye yapısındaki değişimler]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: kapsam
Context triple: [Osmanlı Devleti’nin İlmiye Teşkilâtı, kapsam, Osmanlı’nın çeşitli dönemlerinde ilmiyye yapısındaki değişimler]
  • A. kapsam chosen
    Indicates that one entity includes, covers, or encompasses another within its scope or range.
  • B. kapkapRepresents
    Indicates that one entity serves as a symbolic or conceptual representation of another entity within a specific context.
  • C. capsule
    Indicates that one entity is a capsule containing, enclosing, or encapsulating another entity.
  • D. caps
    Indicates that one entity serves as the capital city or administrative center of another entity, such as a country, state, or region.
  • E. pakad
    Indicates the act of catching, holding, or seizing someone or something, typically by grasping or capturing it.
  • 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_69eeb32163f08190af5f81282738e27a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f621fcea1481909b6f8b3af1ee6820 completed May 2, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69f620debeb48190b7db395fb86cf8d9 completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 1:45 a.m.