Triple

T12690690
Position Surface form Disambiguated ID Type / Status
Subject Alaybey E303194 entity
Predicate hasPublicTransport P1288 FINISHED
Object İzmir Tram E62990 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: İzmir Tram | Statement: [Alaybey, hasPublicTransport, İzmir Tram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: İzmir Tram
Context triple: [Alaybey, hasPublicTransport, İzmir Tram]
  • A. Tram Izmir chosen
    Tram Izmir is a modern light rail tram network serving the Turkish city of İzmir as part of its urban public transportation system.
  • B. Izmir Metro
    Izmir Metro is a rapid transit rail system serving the city of Izmir, Turkey, providing high-capacity urban transportation across key districts.
  • C. Istanbul tram network
    The Istanbul tram network is a modern urban rail system that forms a key part of the city’s public transport, linking major districts on the European side and connecting seamlessly with metro, bus, and ferry services.
  • 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. Istanbul Metrobus
    Istanbul Metrobus is a bus rapid transit system in Istanbul that runs on dedicated lanes to provide fast, high-capacity public transportation across the city.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961dabb38819087738361f9de8066 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671acbd5c8190ad8d1d2f18868369 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:22 p.m.