Triple

T4091313
Position Surface form Disambiguated ID Type / Status
Subject Bács-Bodrog County E87708 entity
Predicate namedAfter P63 FINISHED
Object Bács E414335 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: Bács | Statement: [Bács-Bodrog County, namedAfter, Bács]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bács
Context triple: [Bács-Bodrog County, namedAfter, Bács]
  • A. Bácska chosen
    Bácska is a historical region in the Pannonian Plain, today divided between northern Serbia and southern Hungary, known for its multicultural population and agricultural importance.
  • B. Bicske
    Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
  • C. Bácsborsód
    Bácsborsód is a village in southern Hungary, notable as the birthplace of the influential Bauhaus artist and photographer László Moholy-Nagy.
  • D. Tatabánya
    Tatabánya is an industrial city in northwestern Hungary known for its mining heritage and role as a regional economic center.
  • E. Mátraháza
    Mátraháza is a small mountain resort village in northern Hungary, known for its scenic location in the Mátra range and its hiking and wellness tourism.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcac77788190a5e934fe7c46a1fa completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f1d1ab081909b7999e8feede458 completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:39 p.m.