Triple

T5879377
Position Surface form Disambiguated ID Type / Status
Subject Marmaray rail tunnel E130705 entity
Predicate connectsStation P845 FINISHED
Object Üsküdar station E552718 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: Üsküdar station | Statement: [Marmaray rail tunnel, connectsStation, Üsküdar station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Üsküdar station
Context triple: [Marmaray rail tunnel, connectsStation, Üsküdar station]
  • A. 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.
  • B. Fahrettin Altay station
    Fahrettin Altay station is a major western terminus and transfer hub on the İzmir Metro system in İzmir, Turkey.
  • C. Kazlıçeşme station chosen
    Kazlıçeşme station is a major railway and commuter rail stop in Istanbul that serves as one of the key terminals on the Marmaray cross-Bosphorus rail system.
  • D. 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.
  • E. Yenimahalle
    Yenimahalle is a major district of Ankara, Turkey, known for hosting key government institutions and residential areas within the capital.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03633f0d88190b0ecf595cb28b783 completed March 22, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bff29200819080c7d9269ad80c53 completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:57 p.m.