Triple

T7316222
Position Surface form Disambiguated ID Type / Status
Subject Veszprém E168418 entity
Predicate capitalOf P204 FINISHED
Object Veszprém County E123785 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: Veszprém County | Statement: [Veszprém, capitalOf, Veszprém County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veszprém County
Context triple: [Veszprém, capitalOf, Veszprém County]
  • A. Veszprém County chosen
    Veszprém County is an administrative region in western Hungary known for its historic city of Veszprém and its location along the northern shore of Lake Balaton.
  • B. Heves County
    Heves County is an administrative region in northern Hungary known for its natural landscapes, including part of the Mátra mountain range, and historic towns such as Eger.
  • C. Pozsony County
    Pozsony County was a historic administrative region of the Kingdom of Hungary centered on the city now known as Bratislava.
  • D. Zala County
    Zala County is an administrative region in southwestern Hungary known for its rolling hills, thermal spas, and proximity to Lake Balaton and the Croatian border.
  • E. Borsod-Abaúj-Zemplén County
    Borsod-Abaúj-Zemplén County is a large administrative region in northeastern Hungary known for its industrial city of Miskolc and its diverse natural landscapes, including parts of the Bükk and Zemplén Mountains.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef162d488190bf1c63b71b20a294 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eef3b1c48190ae65a136121b39cb completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:02 p.m.