Triple

T19647413
Position Surface form Disambiguated ID Type / Status
Subject Health Sciences Institute E471714 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: [Health Sciences Institute, locatedIn, Edirne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edirne
Context triple: [Health Sciences Institute, 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64125dd9481908a891c71c975a964 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.