Triple

T12739189
Position Surface form Disambiguated ID Type / Status
Subject İzmir ESHOT bus network E304442 entity
Predicate serviceAreaIncludes P82 FINISHED
Object Selçuk E262471 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: Selçuk | Statement: [İzmir ESHOT bus network, serviceAreaIncludes, Selçuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selçuk
Context triple: [İzmir ESHOT bus network, serviceAreaIncludes, Selçuk]
  • A. Selçuk
    Selçuk is a Turkish surname borne by various notable figures in Turkey, including politicians and public officials.
  • B. Selçuk chosen
    Selçuk is a town in Turkey’s İzmir Province known as the modern gateway to the ancient ruins of Ephesus.
  • C. Edirdahan
    Edirdahan was a Turkish rock band known for blending Anatolian folk elements with progressive rock, notably through its collaboration with influential musician Cem Karaca.
  • D. Kartepe
    Kartepe is a district and popular winter sports and nature tourism destination located in Turkey’s Kocaeli Province, near the Marmara region.
  • E. Toprakkale
    Toprakkale is an ancient fortress and archaeological site in eastern Turkey that served as a significant center of the Iron Age Kingdom of Urartu.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646cfcac81909283dca987755c0e completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8ff57c8190a935b5c9f4bb5aa3 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:26 p.m.