Triple

T11618836
Position Surface form Disambiguated ID Type / Status
Subject Adana E275579 entity
Predicate hasDistrictStatus P2250 FINISHED
Object Çukurova E937154 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: Çukurova | Statement: [Adana, hasDistrictStatus, Çukurova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Çukurova
Context triple: [Adana, hasDistrictStatus, Çukurova]
  • 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. Körfez
    Körfez is a coastal industrial city and district in Turkey’s Kocaeli Province, located along the Gulf of İzmit in the Marmara region.
  • D. 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.
  • E. Düzce
    Düzce is a city in northwestern Turkey known for its location between Istanbul and Ankara and its proximity to the Black Sea.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a047758081908191c1d564409d9a completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1330cfc0819086a07139b6c82c10 completed April 27, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:38 p.m.