Triple

T12739044
Position Surface form Disambiguated ID Type / Status
Subject Basmane railway station E304439 entity
Predicate isLocatedNear P350 FINISHED
Object Konak Square area E285108 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: Konak Square area | Statement: [Basmane railway station, isLocatedNear, Konak Square area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konak Square area
Context triple: [Basmane railway station, isLocatedNear, Konak Square area]
  • A. Konak Square chosen
    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.
  • B. Ortaköy Square
    Ortaköy Square is a popular waterfront plaza in Istanbul’s Ortaköy neighborhood, known for its lively cafes, street vendors, and views of the Bosphorus and Bosphorus Bridge.
  • 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. Üsküdar Square
    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.
  • E. Kadıköy Square
    Kadıköy Square is a major public plaza and transportation hub on Istanbul’s Asian side, known for its busy pedestrian areas, markets, and access to ferries, buses, and metro lines.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646cfcac81909283dca987755c0e completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eb388488190a30866e9a7a0bc41 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:26 p.m.