Triple

T20083821
Position Surface form Disambiguated ID Type / Status
Subject Eski Camii E500071 entity
Predicate locatedIn P40 FINISHED
Object Edirne 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: Edirne | Statement: [Eski Camii, locatedIn, Edirne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edirne
Context triple: [Eski Camii, locatedIn, Edirne]
  • A. Edirne chosen
    Edirne is a historic city in northwestern Turkey that served as an early capital of the Ottoman Empire and is renowned for its Ottoman-era architecture, including the Selimiye Mosque.
  • B. Edirne Vilayet
    Edirne Vilayet was an administrative province of the late Ottoman Empire centered on the city of Edirne in the European (Rumelian) part of the empire.
  • C. Kırklareli
    Kırklareli is a city in northwestern Turkey known for its location near the Bulgarian border, agricultural economy, and historical Ottoman-era architecture.
  • D. Ballıca
    Ballıca is a village in Turkey known as the birthplace of prominent Turkish politician Kemal Kılıçdaroğlu.
  • E. Targovishte
    Targovishte is a town in northeastern Bulgaria known as an administrative and economic center with historical roots dating back to the Ottoman period.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655946f48190a6b4cb13ea4e212a completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 3:41 p.m.