Triple

T8256584
Position Surface form Disambiguated ID Type / Status
Subject Hamidian massacres E193084 entity
Predicate location P40 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: [Hamidian massacres, location, Diyarbakır]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diyarbakır
Context triple: [Hamidian massacres, location, 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78fb91d08190904c59ccc0cd444a completed March 31, 2026, 7:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd355bef508190894bd01ec39e83f6 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:49 p.m.