Triple

T17531684
Position Surface form Disambiguated ID Type / Status
Subject Vác E426950 entity
Predicate countrySubdivision P766 FINISHED
Object Central Hungary 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: Central Hungary | Statement: [Vác, countrySubdivision, Central Hungary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Hungary
Context triple: [Vác, countrySubdivision, Central Hungary]
  • A. Central Hungary chosen
    Central Hungary is a key administrative and economic region of Hungary that includes the capital city, Budapest, and serves as the country’s primary political and commercial hub.
  • B. Northern Hungary
    Northern Hungary is a region of Hungary known for its industrial cities like Miskolc, historic castles, and the Bükk and Mátra mountain ranges.
  • C. Eastern Hungary
    Eastern Hungary is a geographic region of Hungary that includes major cities such as Debrecen and is known for its plains, cultural heritage, and agricultural significance.
  • D. Southeastern Hungary
    Southeastern Hungary is a largely flat, agricultural region of Hungary known for its rural landscapes, historic towns, and proximity to the Romanian and Serbian borders.
  • E. Southwestern Hungary
    Southwestern Hungary is a geographic region of Hungary bordering Croatia and Slovenia, known for its rolling hills, thermal spas, and historic towns such as Nagykanizsa and Pécs.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e453695734819092d4dcbab4a4fa01 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.