Triple

T16151139
Position Surface form Disambiguated ID Type / Status
Subject European side of Istanbul E391910 entity
Predicate hasPart P35 FINISHED
Object Bayrampaşa E657401 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: Bayrampaşa | Statement: [European side of Istanbul, hasPart, Bayrampaşa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayrampaşa
Context triple: [European side of Istanbul, hasPart, Bayrampaşa]
  • A. Bayrampaşa chosen
    Bayrampaşa is a densely populated working- and middle-class district on Istanbul’s European side, known for its major transport links, industrial areas, and large bus terminal.
  • B. Kasımpaşa
    Kasımpaşa is a historic waterfront neighborhood in Istanbul, Turkey, known for its maritime heritage, working-class character, and proximity to the Golden Horn.
  • C. Muratpaşa
    Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
  • D. Sarayönü
    Sarayönü is a rural district and town in central Turkey, located within Konya Province and known for its agricultural activities on the Central Anatolian plateau.
  • E. Orhangazi
    Orhangazi is a town and district in northwestern Turkey known for its olive cultivation and location near Lake İznik in Bursa 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d981950819087fdacc7879dca97 completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c46bd2081908d6d9fd1898ea5f7 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:01 a.m.