Triple

T13411547
Position Surface form Disambiguated ID Type / Status
Subject Muş E320098 entity
Predicate roadConnection P385 FINISHED
Object Bingöl 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: Bingöl | Statement: [Muş, roadConnection, Bingöl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bingöl
Context triple: [Muş, roadConnection, Bingöl]
  • A. Bingöl Province chosen
    Bingöl Province is an eastern Turkish province known for its mountainous landscape, Kurdish and Zaza populations, and rich local culture.
  • B. Hakkâri
    Hakkâri is a mountainous city in southeastern Turkey near the borders with Iraq and Iran, known for its rugged terrain and predominantly Kurdish population.
  • C. Tunceli Province
    Tunceli Province is a mountainous and sparsely populated region in eastern Turkey known for its significant Alevi and Zaza Kurdish population and its rugged natural landscapes.
  • D. Muş Province
    Muş Province is an eastern Turkish province known for its mountainous terrain, harsh continental climate, and predominantly Kurdish population.
  • E. Yüreğir
    Yüreğir is a metropolitan district and municipality of Adana Province in southern Turkey, located on the eastern bank of the Seyhan River and forming part of the city of Adana.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb3facc819088c1af3b59237e7a completed April 12, 2026, 2:39 p.m.
Created at: April 9, 2026, 9:35 p.m.