Triple

T7682014
Position Surface form Disambiguated ID Type / Status
Subject Üsküdar E174017 entity
Predicate contains P35 FINISHED
Object Üsküdar Square E639225 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 Square | Statement: [Üsküdar, contains, Üsküdar Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Üsküdar Square
Context triple: [Üsküdar, contains, Üsküdar Square]
  • A. Üsküdar Square chosen
    Üsküdar Square is a major public square and transportation hub on Istanbul’s Asian side, serving as a central gathering point along the Bosphorus waterfront.
  • B. Galatasaray Square
    Galatasaray Square is a notable public square in Istanbul’s Beyoğlu district, known as a central meeting point on İstiklal Avenue and a landmark area around the historic Galatasaray High School.
  • C. Beyazıt Square
    Beyazıt Square is a historic public square in Istanbul, Turkey, known for its proximity to Istanbul University and several important Ottoman-era landmarks.
  • D. Konak Square
    Konak Square is the central and most famous public square of İzmir, Turkey, known as a key social, political, and transportation hub of the city.
  • E. Sultanahmet Square
    Sultanahmet Square is a historic public square in Istanbul that serves as the heart of the old city, surrounded by major landmarks such as the Blue Mosque, Hagia Sophia, and the Hippodrome.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70201387c8190afc8479b5a9e21e8 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be205b848190a850abc3f5ac4ef3 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:01 p.m.