Triple

T16151131
Position Surface form Disambiguated ID Type / Status
Subject European side of Istanbul E391910 entity
Predicate hasPart P35 FINISHED
Object Büyükçekmece E734044 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: Büyükçekmece | Statement: [European side of Istanbul, hasPart, Büyükçekmece]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Büyükçekmece
Context triple: [European side of Istanbul, hasPart, Büyükçekmece]
  • A. Büyükçekmece chosen
    Büyükçekmece is a coastal district and suburban area of Istanbul known for its long shoreline along the Sea of Marmara and its large lake of the same name.
  • B. Bayraklı
    Bayraklı is a coastal district of İzmir, Turkey, known for its modern business centers, residential areas, and proximity to the city’s central urban core.
  • C. Beylikdüzü
    Beylikdüzü is a modern residential and commercial district on the European side of Istanbul, known for its planned urban layout, shopping centers, and coastal location along the Sea of Marmara.
  • D. Çekmeköy
    Çekmeköy is a residential district on the Asian side of Istanbul, known for its rapidly developing housing areas and proximity to forested green spaces.
  • E. Küçükçekmece
    Küçükçekmece is a populous district on the European side of Istanbul, known for its large lake, residential neighborhoods, and growing role as a transportation and industrial hub.
  • 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_6a0025f183d88190b269233ff6e65d75 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:01 a.m.