Triple

T2837430
Position Surface form Disambiguated ID Type / Status
Subject İzmir Metro E62383 entity
Predicate hasKeyStation P22144 FINISHED
Object Halkapınar station E303195 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: Halkapınar station | Statement: [İzmir Metro, hasKeyStation, Halkapınar station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halkapınar station
Context triple: [İzmir Metro, hasKeyStation, Halkapınar station]
  • A. Konak station
    Konak station is a central underground stop on the İzmir Metro system, serving as one of the main transit hubs in the heart of İzmir, Turkey.
  • B. Konya High-Speed Train Station
    Konya High-Speed Train Station is a major modern rail hub in Konya, Turkey, serving high-speed train connections between the city and key destinations such as Ankara and Istanbul.
  • C. Haydarpaşa Railway Station
    Haydarpaşa Railway Station is a historic waterfront terminus in Istanbul renowned for its grand neo-classical architecture and its former role as a major rail gateway between Europe and Asia.
  • D. Beştepe
    Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
  • E. Halkapınar chosen
    Halkapınar is a major transport hub and urban area in İzmir, Turkey, known for its extensive rail and tram connections.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe08ae5048190a0a3b573d9a5fdbc completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d7705108190a986d3def0c08f7b completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:01 p.m.