Triple

T8597833
Position Surface form Disambiguated ID Type / Status
Subject Beykoz E203594 entity
Predicate contains P35 FINISHED
Object Anadolu Hisarı E639216 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: Anadolu Hisarı | Statement: [Beykoz, contains, Anadolu Hisarı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anadolu Hisarı
Context triple: [Beykoz, contains, Anadolu Hisarı]
  • A. Anadolu Hisarı chosen
    Anadolu Hisarı is a historic waterfront neighborhood and fortress area on Istanbul’s Asian side, overlooking the Bosphorus.
  • B. Ortahisar
    Ortahisar is a town in Turkey’s Cappadocia region, known for its towering rock castle, cave dwellings, and traditional stone architecture.
  • C. Ankara Castle
    Ankara Castle is a historic hilltop fortress in Turkey’s capital, offering panoramic views of the city and reflecting layers of Roman, Byzantine, and Ottoman heritage.
  • D. Afyonkarahisar
    Afyonkarahisar is a historic city in western Turkey known for its strategic location, thermal springs, and prominent rock fortress overlooking the urban center.
  • E. Basilica Cistern
    The Basilica Cistern is a vast underground Byzantine water reservoir in Istanbul, famed for its forest of marble columns and atmospheric, cathedral-like interior.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46cacbe88190b95beeedc9f480b0 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8dd86d08190a7f8e674e16dd8b6 completed April 2, 2026, 5:35 p.m.
Created at: March 30, 2026, 6:24 p.m.