Triple

T13251214
Position Surface form Disambiguated ID Type / Status
Subject Kızılay E315533 entity
Predicate hasLandmark P105 FINISHED
Object Yüksel Street E994498 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: Yüksel Street | Statement: [Kızılay, hasLandmark, Yüksel Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yüksel Street
Context triple: [Kızılay, hasLandmark, Yüksel Street]
  • A. 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.
  • B. Tunalı Hilmi Avenue chosen
    Tunalı Hilmi Avenue is a major commercial and social hub in Ankara, Turkey, known for its shops, cafes, and vibrant street life.
  • C. Halil Rıfat Paşa Street
    Halil Rıfat Paşa Street is a notable thoroughfare in İzmir’s historic Karataş neighborhood, known for its steep incline and proximity to the famous Asansör (elevator) landmark.
  • D. Doganbey Street
    Doganbey Street is a local street in the Anıttepe neighborhood, an urban area of Ankara, Turkey.
  • E. Mithatpaşa Street
    Mithatpaşa Street is a major coastal thoroughfare in İzmir, Turkey, known for its scenic views along the Gulf and its role as a key artery through several central neighborhoods.
  • 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_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_69f71f17ba9081909929201be937c2cf completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:24 p.m.