Triple

T8404690
Position Surface form Disambiguated ID Type / Status
Subject Dolmabahce Clock Tower E198465 entity
Predicate locatedIn P40 FINISHED
Object Besiktas district E484324 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: Besiktas district | Statement: [Dolmabahce Clock Tower, locatedIn, Besiktas district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Besiktas district
Context triple: [Dolmabahce Clock Tower, locatedIn, Besiktas district]
  • A. Beşiktaş district chosen
    Beşiktaş district is a central and historic area on Istanbul’s European shore, known for its waterfront along the Bosphorus, cultural landmarks, and vibrant urban life.
  • B. Şişli district
    Şişli district is a central and densely populated area on Istanbul’s European side, known for its commercial centers, business districts, and historic neighborhoods.
  • C. Kağıthane district
    Kağıthane district is an urban area on the European side of Istanbul, Turkey, known for its rapid modernization and mixed residential and commercial neighborhoods.
  • D. Ataşehir
    Ataşehir is a modern residential and business district on the Asian side of Istanbul, known for its high-rise developments and financial centers.
  • E. Ümraniye
    Ümraniye is a densely populated residential and commercial district located on the Asian side of Istanbul, Turkey.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83116bf48190894bd5d5465520ef completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6cdb3b48819091c554539e74812a completed April 2, 2026, 1:19 p.m.
Created at: March 30, 2026, 6:05 p.m.