Triple

T9786216
Position Surface form Disambiguated ID Type / Status
Subject TurkishCuisine E237494 entity
Predicate notableCityForCuisine P18147 FINISHED
Object Hatay E178976 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: Hatay | Statement: [TurkishCuisine, notableCityForCuisine, Hatay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatay
Context triple: [TurkishCuisine, notableCityForCuisine, Hatay]
  • A. Hatay Province chosen
    Hatay Province is a southern Turkish province on the Mediterranean coast, known for its multicultural heritage, ancient cities, and strategic location bordering Syria.
  • B. Mardin
    Mardin is a historic city in southeastern Turkey known for its terraced stone architecture, diverse ethnic and religious heritage, and commanding views over the Mesopotamian plains.
  • C. Isparta
    Isparta is a city in southwestern Turkey known for its rose cultivation and production of rose oil and related products.
  • D. Güzelyurt
    Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
  • E. Isparta Province
    Isparta Province is an inland region of southwestern Turkey known for its rose cultivation, lakes, and agricultural production.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda2107f688190b2cab1509c508319 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1e40ba788819084c3c01518a72e4e completed April 5, 2026, 4:24 a.m.
Created at: March 30, 2026, 8:27 p.m.