Triple

T5492001
Position Surface form Disambiguated ID Type / Status
Subject Asian Turkey E123721 entity
Predicate containsCity P294 FINISHED
Object Ürgüp E294549 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: Ürgüp | Statement: [Asian Turkey, containsCity, Ürgüp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ürgüp
Context triple: [Asian Turkey, containsCity, Ürgüp]
  • A. Ürgüp chosen
    Ürgüp is a historic town in Turkey’s Cappadocia region, known for its fairy-chimney rock formations, cave hotels, and wine production.
  • B. Akyurt
    Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
  • C. Muratpaşa
    Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
  • D. Gündoğmuş
    Gündoğmuş is a small inland district and town in Turkey known for its mountainous terrain and location within Antalya Province in the Mediterranean region.
  • E. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9280403c8190baaa3f7923449a37 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c8fb5688190b29f27ce13324943 completed March 22, 2026, 4:14 a.m.
Created at: March 20, 2026, 2:10 p.m.