Triple

T21692316
Position Surface form Disambiguated ID Type / Status
Subject Bihor County E535400 entity
Predicate hasCity P316 FINISHED
Object Beiuș 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: Beiuș | Statement: [Bihor County, hasCity, Beiuș]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beiuș
Context triple: [Bihor County, hasCity, Beiuș]
  • A. Beiuș chosen
    Beiuș is a small historic town in western Romania’s Bihor County, known for its traditional architecture and role as a local cultural and educational center in the Crișana region.
  • B. Budești
    Budești is a locality in Romania situated along the Argeș River.
  • C. Berbești
    Berbești is a small town in south-central Romania known for its role in the regional mining and energy industry within Vâlcea County.
  • D. Reșița
    Reșița is an industrial city in western Romania, historically known as a major center of steel production and engineering in the Banat region.
  • E. Berești
    Berești is a small town in eastern Romania, located in Galați County within the historical region of Moldavia.
  • 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_69e0c46a6ee481908836e1420fb78c9b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96d0d4048190abfc3e3e06c51b8d completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:45 p.m.