Triple

T2986574
Position Surface form Disambiguated ID Type / Status
Subject Central Anatolia Region E80639 entity
Predicate containsCity P294 FINISHED
Object Kırşehir E351173 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: Kırşehir | Statement: [Central Anatolia Region, containsCity, Kırşehir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kırşehir
Context triple: [Central Anatolia Region, containsCity, Kırşehir]
  • A. Kırşehir Province chosen
    Kırşehir Province is a central Anatolian province of Turkey known for its agricultural economy and historical and cultural heritage.
  • B. 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.
  • C. Nevşehir
    Nevşehir is a city in central Turkey that serves as the main urban center and gateway to the historic, cave-dotted region of Cappadocia.
  • D. Çorlu
    Çorlu is a town in Turkey’s Tekirdağ Province in Eastern Thrace, historically notable as the place where Ottoman Sultan Selim I died.
  • E. Kırıkkale Province
    Kırıkkale Province is a central Anatolian province of Turkey known for its industrial base, particularly in arms and ammunition manufacturing, and its proximity to the capital, Ankara.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c76dfc8190b08bd6110ffabf25 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b334049c5c8190b870e790795cbec4 completed March 12, 2026, 9:45 p.m.
Created at: March 8, 2026, 2:59 p.m.