Triple

T7840476
Position Surface form Disambiguated ID Type / Status
Subject İzmir Province E181790 entity
Predicate contains P35 FINISHED
Object Karaburun E482230 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: Karaburun | Statement: [İzmir Province, contains, Karaburun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karaburun
Context triple: [İzmir Province, contains, Karaburun]
  • A. Karaburun Peninsula chosen
    The Karaburun Peninsula is a rugged, scenic headland on Albania’s southwestern coast, known for its protected marine park, secluded beaches, and dramatic cliffs between the Adriatic and Ionian Seas.
  • B. Konyaaltı Beach
    Konyaaltı Beach is a long, pebbly Mediterranean shoreline in Antalya, Turkey, popular for its clear blue waters, mountain backdrop, and vibrant seaside promenade.
  • C. Fethiye
    Fethiye is a popular coastal resort city in southwestern Turkey known for its natural harbor, nearby Ölüdeniz lagoon, and proximity to ancient Lycian sites.
  • D. Kuşadası
    Kuşadası is a popular Aegean coastal resort town in western Turkey, known for its beaches, cruise port, and proximity to the ancient city of Ephesus.
  • E. Torbalı
    Torbalı is a district and rapidly growing suburban area of İzmir, Turkey, known for its industrial zones and connection to the city via the İZBAN commuter rail system.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c589748190b34d0911d373e194 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aca5e348190bb73fc4748093248 completed March 31, 2026, 5:25 a.m.
Created at: March 30, 2026, 4:47 p.m.