Triple

T12353617
Position Surface form Disambiguated ID Type / Status
Subject Ortahisar E294552 entity
Predicate nearbySettlement P350 FINISHED
Object Nevşehir E296508 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: Nevşehir | Statement: [Ortahisar, nearbySettlement, Nevşehir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nevşehir
Context triple: [Ortahisar, nearbySettlement, Nevşehir]
  • A. Nevşehir chosen
    Nevşehir is a city in central Turkey that serves as the main urban center and gateway to the historic, cave-dotted region of Cappadocia.
  • B. Kütahya
    Kütahya is a historic city in western Turkey known for its Ottoman-era architecture and traditional ceramic and tile production.
  • C. Çankırı
    Çankırı is a small provincial city in north-central Turkey known for its historical fortifications, salt mines, and location on the Anatolian plateau.
  • D. Aksaray
    Aksaray is a historic city in central Turkey known for its location on the ancient Silk Road and its proximity to the Cappadocia region.
  • E. Yüreğir
    Yüreğir is a metropolitan district and municipality of Adana Province in southern Turkey, located on the eastern bank of the Seyhan River and forming part of the city of Adana.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8aa33c8190b22b7dff9559b8ed completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f082b6481909950c8c4cb854440 completed May 3, 2026, 10:10 a.m.
Created at: April 8, 2026, 9:54 p.m.