Triple

T12739210
Position Surface form Disambiguated ID Type / Status
Subject İzmirim Kart E304443 entity
Predicate replaced P101 FINISHED
Object Eski İzmir Kentkart E304443 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: Eski İzmir Kentkart | Statement: [İzmirim Kart, replaced, Eski İzmir Kentkart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eski İzmir Kentkart
Context triple: [İzmirim Kart, replaced, Eski İzmir Kentkart]
  • A. İzmirim Kart chosen
    İzmirim Kart is a rechargeable smart card used as the primary public transportation payment method across İzmir, Turkey, including the metro system.
  • B. Istanbulkart
    Istanbulkart is a rechargeable contactless smart card used for paying fares across Istanbul’s public transportation network, including buses, metros, trams, and ferries.
  • C. Ankarakart
    Ankarakart is a contactless smart card used as the primary public transportation payment system in Ankara, Turkey.
  • D. İzmir ESHOT bus network
    The İzmir ESHOT bus network is the primary public bus system serving the city of İzmir, Turkey, providing extensive urban and suburban routes that integrate with other modes of public transport.
  • E. Izmir Metro
    Izmir Metro is a rapid transit rail system serving the city of Izmir, Turkey, providing high-capacity urban transportation across key districts.
  • 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.