Triple

T14714527
Position Surface form Disambiguated ID Type / Status
Subject Diyâr-ı Bekr E345641 entity
Predicate replacedBy P101 FINISHED
Object Diyarbakır E68771 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: Diyarbakır | Statement: [Diyâr-ı Bekr, replacedBy, Diyarbakır]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diyarbakır
Context triple: [Diyâr-ı Bekr, replacedBy, Diyarbakır]
  • A. Diyarbakır chosen
    Diyarbakır is a major historic city in southeastern Turkey, renowned for its extensive black basalt city walls and rich Kurdish and Mesopotamian heritage.
  • B. Gaziantep
    Gaziantep is a major city in southeastern Turkey known for its rich history, cultural heritage, and renowned pistachio-based cuisine, especially baklava.
  • C. Şanlıurfa
    Şanlıurfa is a historic city in southeastern Turkey, traditionally identified with the ancient city of Edessa and renowned for its rich religious and cultural heritage.
  • D. Muş
    Muş is a city in eastern Turkey known for its historical significance, traditional Kurdish and Turkish culture, and surrounding mountainous landscapes.
  • E. Diyarbakır Province
    Diyarbakır Province is an administrative region in southeastern Turkey centered around the historic city of Diyarbakır, known for its significant Kurdish population and rich cultural 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98513b081908b230f6ac79c72ad completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01d44044819088c86f46b02404ed completed May 9, 2026, 9:43 a.m.
Created at: April 10, 2026, 1:29 a.m.