Triple

T17287696
Position Surface form Disambiguated ID Type / Status
Subject Mediterranean Region E419701 entity
Predicate contains P35 FINISHED
Object Adana E275579 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: Adana | Statement: [Mediterranean Region, contains, Adana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adana
Context triple: [Mediterranean Region, contains, Adana]
  • A. Adana chosen
    Adana is a major city in southern Turkey known as an important agricultural, industrial, and transportation hub of the Çukurova region.
  • B. Antakya
    Antakya is a city in southern Turkey, historically known as Antioch, renowned as an important center of Hellenistic, Roman, and early Christian civilization.
  • C. 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.
  • D. Havsa
    Havsa is a town in northwestern Turkey’s Edirne Province, historically notable as the place where Ottoman Sultan Bayezid II died.
  • E. 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.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43780fad88190b82193c8335e2f11 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017957c738819087341bcd51b55114 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.