Triple

T7481832
Position Surface form Disambiguated ID Type / Status
Subject Murad II E176776 entity
Predicate diedIn P21 FINISHED
Object Edirne E19465 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: Edirne | Statement: [Murad II, diedIn, Edirne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edirne
Context triple: [Murad II, diedIn, 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. Targovishte
    Targovishte is a town in northeastern Bulgaria known as an administrative and economic center with historical roots dating back to the Ottoman period.
  • E. Giresun
    Giresun is a coastal city in northeastern Turkey known for its hazelnut production and scenic location along the Black Sea.
  • 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f534aa388190b3bb3e16be3a54c8 completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c68bcf081908a2c280152d887f0 completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:42 p.m.