Triple

T22025132
Position Surface form Disambiguated ID Type / Status
Subject Turkish railway network E543939 entity
Predicate connectsCity P4245 FINISHED
Object Adana 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: Adana | Statement: [Turkish railway network, connectsCity, Adana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adana
Context triple: [Turkish railway network, connectsCity, 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 (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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ca45a08190b2d5d3a8eb37cb4b completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.