Triple

T7908664
Position Surface form Disambiguated ID Type / Status
Subject European route E80 E183642 entity
Predicate easternTerminus P388 FINISHED
Object Gürbulak E673522 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: Gürbulak | Statement: [European route E80, easternTerminus, Gürbulak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gürbulak
Context triple: [European route E80, easternTerminus, Gürbulak]
  • A. Gürbulak chosen
    Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
  • B. Muratlı
    Muratlı is a town and district in Turkey’s Thrace region, located within Tekirdağ Province and known for its agricultural and industrial activities.
  • C. Muratpaşa
    Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
  • D. Malkara
    Malkara is a town and district in Turkey’s European region of Thrace, known for its agricultural economy and location within Tekirdağ Province.
  • E. Karabulak
    Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a5c85ac81908de2ca387826ea2f completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce01c37978819090922f7fc273edc9 completed April 2, 2026, 5:42 a.m.
Created at: March 30, 2026, 5:03 p.m.