Triple

T15219220
Position Surface form Disambiguated ID Type / Status
Subject Kalecik E363717 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Kalecik town E363717 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: Kalecik town | Statement: [Kalecik, hasAdministrativeCenter, Kalecik town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalecik town
Context triple: [Kalecik, hasAdministrativeCenter, Kalecik town]
  • A. Kalecik chosen
    Kalecik is a district and town in central Turkey known for its historic architecture and the locally famous Kalecik Karası grape variety.
  • B. Kumluca
    Kumluca is a town and district in Turkey’s Antalya Province, known for its agriculture—especially greenhouse-grown vegetables—and its location along the Mediterranean coast.
  • C. Toprakkale
    Toprakkale is an ancient fortress and archaeological site in eastern Turkey that served as a significant center of the Iron Age Kingdom of Urartu.
  • D. Kuyucak
    Kuyucak is a town and district in western Turkey, located within Aydın Province and known for its agricultural production and proximity to natural and historical sites.
  • E. Keçiören
    Keçiören is a densely populated metropolitan district and municipality of Ankara, known as one of the capital city’s major residential and commercial areas.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007709d3881908384f0fe1e0218d0 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed345d58c81908a8fd182c0fe7c15 completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.