Triple

T13251216
Position Surface form Disambiguated ID Type / Status
Subject Kızılay E315533 entity
Predicate hasLandmark P105 FINISHED
Object Atatürk Boulevard unclear NED1 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: Atatürk Boulevard | Statement: [Kızılay, hasLandmark, Atatürk Boulevard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atatürk Boulevard
Context triple: [Kızılay, hasLandmark, Atatürk Boulevard]
  • A. Atatürk Boulevard
    Atatürk Boulevard is a major thoroughfare in Istanbul, Turkey, serving as a key north–south artery through the historic peninsula.
  • B. Gazi Boulevard
    Gazi Boulevard is a major thoroughfare in İzmir, Turkey, known for its central location, commercial activity, and proximity to key landmarks such as Konak Square.
  • C. Tunalı Hilmi Avenue
    Tunalı Hilmi Avenue is a major commercial and social hub in Ankara, Turkey, known for its shops, cafes, and vibrant street life.
  • D. Dumlupınar Boulevard
    Dumlupınar Boulevard is a major arterial road in Ankara, Turkey, connecting central districts and key government areas.
  • E. Dolmabahce Avenue
    Dolmabahce Avenue is a prominent thoroughfare in Istanbul’s Beşiktaş district that runs alongside the Dolmabahçe Palace complex on the European shore of the Bosphorus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f73423c8190932a9edac56df383 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7305c5f8081908bbe19f2a644acc5 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:24 p.m.