Triple

T16663008
Position Surface form Disambiguated ID Type / Status
Subject Garip E404905 entity
Predicate publisher P29 FINISHED
Object Remzi Kitabevi E1182888 NE 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: Remzi Kitabevi | Statement: [Garip, publisher, Remzi Kitabevi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Remzi Kitabevi
Context triple: [Garip, publisher, Remzi Kitabevi]
  • A. Remzi Kitabevi chosen
    Remzi Kitabevi is a long-established Turkish publishing house and bookstore chain known for releasing significant works of Turkish and world literature.
  • B. Varlık Yayınları
    Varlık Yayınları is a prominent Turkish publishing house known for releasing influential works of modern Turkish literature.
  • C. Rüya Pamuk
    Rüya Pamuk is the daughter of Nobel Prize–winning Turkish novelist Orhan Pamuk.
  • D. İletişim Yayınları
    İletişim Yayınları is a prominent Turkish publishing house known for releasing influential works of literature, social sciences, and critical thought.
  • E. Cilicia Publishing House
    Cilicia Publishing House is the official publishing arm of the Armenian Apostolic Catholicosate of the Great House of Cilicia, producing religious, historical, and cultural works related to the Armenian Church and heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c99efa8819096c6325ff4898bd7 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084d091e0819088a98ef4aa775d07 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.