Triple

T22006556
Position Surface form Disambiguated ID Type / Status
Subject Istanbul Peninsula E543461 entity
Predicate contains P35 FINISHED
Object Balat 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: Balat | Statement: [Istanbul Peninsula, contains, Balat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balat
Context triple: [Istanbul Peninsula, contains, Balat]
  • A. Balat chosen
    Balat is a historic neighborhood in Istanbul, Turkey, known for its colorful houses, steep cobbled streets, and rich Jewish and multicultural heritage.
  • B. Balat
    Balat is a small historic village in Egypt’s Dakhla Oasis, known for its traditional mud-brick architecture and archaeological remains dating back to the Pharaonic and Islamic periods.
  • C. Balat
    Balat is a surname most notably associated with Alphonse Balat, a prominent 19th-century Belgian architect known for designing the Royal Greenhouses of Laeken.
  • D. Balat
    Balat is a modern village in western Turkey located near the ruins of the ancient Greek city of Miletus.
  • E. Balçova
    Balçova is a coastal district of İzmir, Turkey, known for its thermal springs, residential areas, and proximity to the city center.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a18c1081909d15aa7ed4b725e3 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:21 p.m.