Triple

T11060428
Position Surface form Disambiguated ID Type / Status
Subject Orhay E261492 entity
Predicate locatedInPresentDay P40 FINISHED
Object Şanlıurfa E268771 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: Şanlıurfa | Statement: [Orhay, locatedInPresentDay, Şanlıurfa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Şanlıurfa
Context triple: [Orhay, locatedInPresentDay, Şanlıurfa]
  • A. Şanlıurfa chosen
    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.
  • 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. Muş
    Muş is a city in eastern Turkey known for its historical significance, traditional Kurdish and Turkish culture, and surrounding mountainous landscapes.
  • D. Sivas
    Sivas is a historic city in central Turkey that served as an important political, commercial, and cultural center in Anatolia, especially during the Seljuk and Ottoman periods.
  • E. Antakya
    Antakya is a city in southern Turkey, historically known as Antioch, renowned as an important center of Hellenistic, Roman, and early Christian civilization.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798e991848190b07c2f48dae38681 completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441a5b5a481908a6fdf5f8e9bca8b completed April 19, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:26 p.m.