Triple

T22734694
Position Surface form Disambiguated ID Type / Status
Subject IAR Brașov E562233 entity
Predicate location P40 FINISHED
Object Brașov 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: Brașov | Statement: [IAR Brașov, location, Brașov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brașov
Context triple: [IAR Brașov, location, Brașov]
  • A. Brașov chosen
    Brașov is a historic city in central Romania, renowned for its well-preserved medieval architecture, fortified churches, and role as a major cultural and economic center of Transylvania.
  • B. Brasova
    Brasova is the surname of Countess Natalia Brasova, a Russian noblewoman best known as the morganatic wife of Grand Duke Michael Alexandrovich of Russia.
  • C. Sighișoara
    Sighișoara is a well-preserved medieval town in central Romania, renowned for its fortified old citadel and rich Transylvanian Saxon heritage.
  • D. Ploiești
    Ploiești is a major city in southern Romania historically known for its oil industry and strategic importance during World War II.
  • E. Oradea
    Oradea is a major city in western Romania near the Hungarian border, known for its Art Nouveau architecture, thermal spas, and role as an important cultural and economic center in the region.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1796f030881908e141564d442bd1b completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:22 p.m.