Triple

T7042137
Position Surface form Disambiguated ID Type / Status
Subject Bosphorus ferry routes E163537 entity
Predicate hasTerminal P182 FINISHED
Object Karaköy E167885 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: Karaköy | Statement: [Bosphorus ferry routes, hasTerminal, Karaköy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karaköy
Context triple: [Bosphorus ferry routes, hasTerminal, Karaköy]
  • A. Karaköy chosen
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • B. Poyrazköy
    Poyrazköy is a coastal neighborhood on the Asian side of Istanbul, Turkey, situated at the northern entrance of the Bosphorus Strait.
  • C. Konyaaltı
    Konyaaltı is a coastal district of Antalya in southern Turkey, known for its long pebble beach, tourism facilities, and proximity to the Taurus Mountains.
  • D. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • E. Şirinköy
    Şirinköy is a village located on Gökçeada, Turkey’s largest Aegean island in the Çanakkale Province.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e23440e8819080963fe81cfa0695 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c8379d88190b91b820851d1049a completed March 28, 2026, 9:16 a.m.
Created at: March 27, 2026, 2:36 p.m.