Triple

T12739191
Position Surface form Disambiguated ID Type / Status
Subject İzmir ESHOT bus network E304442 entity
Predicate serviceAreaIncludes P82 FINISHED
Object Çeşme E413615 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: Çeşme | Statement: [İzmir ESHOT bus network, serviceAreaIncludes, Çeşme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Çeşme
Context triple: [İzmir ESHOT bus network, serviceAreaIncludes, Çeşme]
  • A. Çeşme chosen
    Çeşme is a popular Aegean coastal resort town in western Turkey, known for its beaches, thermal springs, and vibrant holiday atmosphere.
  • B. Kuruçeşme
    Kuruçeşme is a Bosphorus-side neighborhood in Istanbul known for its waterfront parks, nightlife venues, and views of the strait.
  • C. Bozcaada
    Bozcaada is a Turkish Aegean island known for its historic castle, vineyards, and well-preserved traditional architecture.
  • D. Datça
    Datça is a picturesque coastal town and popular holiday destination on Turkey’s Datça Peninsula, known for its unspoiled beaches, clear waters, and relaxed atmosphere.
  • E. Ksamil
    Ksamil is a small coastal village in southern Albania known for its crystal-clear waters, white-sand beaches, and nearby islands, making it one of the most popular destinations on the Albanian Riviera.
  • 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_69f684eba2508190966d084cc21dc1ea completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:26 p.m.