Triple

T7175695
Position Surface form Disambiguated ID Type / Status
Subject Istanbul Metro E167312 entity
Predicate connectsTo P845 FINISHED
Object Marmaray E130705 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: Marmaray | Statement: [Istanbul Metro, connectsTo, Marmaray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marmaray
Context triple: [Istanbul Metro, connectsTo, Marmaray]
  • A. Marmaray rail tunnel chosen
    The Marmaray rail tunnel is an undersea railway tunnel in Istanbul that connects the European and Asian sides of the city beneath the Bosporus Strait.
  • B. Tunca Bridge
    Tunca Bridge is a historic Ottoman-era stone bridge spanning the Tunca River in Edirne, Turkey.
  • C. Meriç Bridge
    Meriç Bridge is a historic Ottoman-era stone bridge spanning the Maritsa (Meriç) River in Edirne, Turkey, known for its elegant arches and scenic views.
  • D. Dicle Bridge
    Dicle Bridge is a historic stone bridge spanning the Tigris River near Diyarbakır in southeastern Turkey, renowned for its medieval architecture and cultural significance.
  • E. Yavuz Sultan Selim Bridge
    Yavuz Sultan Selim Bridge is a modern suspension bridge spanning the Bosphorus Strait in Istanbul, serving both road and rail traffic and symbolizing the city's connection between Europe and Asia.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88ec6a8819083cbc3f4c39b8c79 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b9281e808190ac2a8ad585a70ea0 completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:48 p.m.