Triple

T19614557
Position Surface form Disambiguated ID Type / Status
Subject Ainos E470824 entity
Predicate locatedIn P40 FINISHED
Object Edirne Province 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 Province | Statement: [Ainos, locatedIn, Edirne Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edirne Province
Context triple: [Ainos, locatedIn, Edirne Province]
  • A. Edirne Vilayet chosen
    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.
  • B. Tekirdağ Province
    Tekirdağ Province is a region in northwestern Turkey known for its coastal location along the Sea of Marmara, agricultural production, and growing industrial and port activities.
  • C. Vidin Province
    Vidin Province is an administrative region in northwestern Bulgaria, bordering the Danube River and neighboring countries Romania and Serbia.
  • D. Edirne
    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.
  • E. Kırklareli
    Kırklareli is a city in northwestern Turkey known for its location near the Bulgarian border, agricultural economy, and historical Ottoman-era architecture.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640ce272481909688527f72d2c976 completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.