Triple

T21046280
Position Surface form Disambiguated ID Type / Status
Subject Yıldız Palace E518458 entity
Predicate partOf P40 FINISHED
Object Yıldız neighborhood NE NERFINISHED

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: Yıldız neighborhood | Statement: [Yıldız Palace, partOf, Yıldız neighborhood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yıldız neighborhood
Context triple: [Yıldız Palace, partOf, Yıldız neighborhood]
  • A. Yıldız neighborhood chosen
    Yıldız neighborhood is a historic and upscale residential area in Istanbul known for its parks, palaces, and proximity to the Bosphorus.
  • B. Vefa neighborhood
    Vefa neighborhood is a historic quarter in Istanbul known for its Ottoman-era architecture, traditional boza drink, and proximity to major landmarks in the Fatih district.
  • C. Ünalan neighborhood
    Ünalan neighborhood is a residential and commercial district on Istanbul’s Asian side, situated within the historic Üsküdar municipality.
  • D. Çiğdem neighborhood
    Çiğdem neighborhood is a residential quarter of the Beykoz district on the Asian side of Istanbul, Turkey.
  • E. Etiler neighborhood
    Etiler neighborhood is an upscale residential and commercial area on Istanbul’s European side, known for its luxury apartments, shopping, dining, and nightlife.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf3cac081909915a440fbb5c084 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:34 p.m.