Triple

T21316999
Position Surface form Disambiguated ID Type / Status
Subject İskenderun E525497 entity
Predicate partOf P40 FINISHED
Object Çukurova region 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: Çukurova region | Statement: [İskenderun, partOf, Çukurova region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Çukurova region
Context triple: [İskenderun, partOf, Çukurova region]
  • A. Çukurova chosen
    Çukurova is a fertile agricultural and historical region in southern Turkey, encompassing the plains around the city of Adana near the Mediterranean coast.
  • B. Adana Vilayet
    Adana Vilayet was an administrative province of the Ottoman Empire in southern Anatolia, centered on the city of Adana and encompassing parts of the historic Cilicia region.
  • C. Mersin Province
    Mersin Province is a coastal region in southern Turkey on the Mediterranean Sea, known for its major port city of Mersin and its rich historical and agricultural significance.
  • D. Kahramanmaraş Province
    Kahramanmaraş Province is an administrative region in southern Turkey known for its historic city of Kahramanmaraş and its famous Maraş ice cream.
  • E. Koçgiri region
    The Koçgiri region is a historically significant area in eastern Anatolia, known primarily as the center of an early 20th-century Kurdish-Alevi uprising against the nascent Turkish Republic.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dd0b34481909dd6d37cf8e42144 completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 4:34 p.m.