Triple

T22619972
Position Surface form Disambiguated ID Type / Status
Subject Heybeliada E558247 entity
Predicate reachableFrom P1985 FINISHED
Object Kabataş 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: Kabataş | Statement: [Heybeliada, reachableFrom, Kabataş]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabataş
Context triple: [Heybeliada, reachableFrom, Kabataş]
  • A. Kabataş chosen
    Kabataş is a coastal neighborhood in Istanbul, Turkey, known as a major transportation hub with ferry, tram, and funicular connections along the Bosphorus.
  • B. Bakırköy
    Bakırköy is a coastal district on the European side of Istanbul, Turkey, known for its residential neighborhoods, shopping centers, and seaside recreation areas.
  • C. Kartal
    Kartal is a coastal district on the Asian side of Istanbul, known for its residential neighborhoods, seaside promenade, and growing business and transportation hubs.
  • 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. Sirkeci
    Sirkeci is a historic waterfront district in Istanbul best known for its former role as the terminus of the Orient Express and as a key transportation and commercial hub near the city’s old peninsula.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e383b048190a432c540185916d0 completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3 p.m.