Triple

T18392144
Position Surface form Disambiguated ID Type / Status
Subject Kadınhanı E449757 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Kadınhanı (town) NE NERFINISHED

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: Kadınhanı (town) | Statement: [Kadınhanı, hasAdministrativeCenter, Kadınhanı (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kadınhanı (town)
Context triple: [Kadınhanı, hasAdministrativeCenter, Kadınhanı (town)]
  • A. Kadınhanı chosen
    Kadınhanı is a town and district in central Turkey known for its agricultural economy and location within Konya Province on the Central Anatolian plateau.
  • B. Kınalı Yapıncak
    Kınalı Yapıncak is a classic Turkish film best known for featuring prominent actress Hülya Koçyiğit in a leading role.
  • C. Kağızman town
    Kağızman town is a small settlement in northeastern Turkey’s Kars Province, known for its agricultural production and its location along the Aras River valley.
  • D. Kaleköy
    Kaleköy is a small coastal village on the island of Gökçeada in Turkey, known for its historic stone houses, scenic harbor, and traditional Aegean atmosphere.
  • E. Çelikhan District
    Çelikhan District is an administrative district in southeastern Turkey known for its mountainous terrain and rural settlements within Adıyaman Province.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e518435cf481908393c1eb2b4ba659 completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.