Triple

T18251220
Position Surface form Disambiguated ID Type / Status
Subject Arva County E437095 entity
Predicate borderedBy P224 FINISHED
Object Szepes County 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: Szepes County | Statement: [Arva County, borderedBy, Szepes County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szepes County
Context triple: [Arva County, borderedBy, Szepes County]
  • A. Szepes County chosen
    Szepes County was a historic administrative region of the Kingdom of Hungary, located in what is now northeastern Slovakia and known for its medieval towns and castles.
  • 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. Békés County
    Békés County is an administrative region in southeastern Hungary known for its agricultural landscape and proximity to the Romanian border.
  • D. Trencsén County
    Trencsén County was a historic administrative county of the Kingdom of Hungary, located in what is now northwestern Slovakia.
  • 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 (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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd8124648190ae7fc9f1fc5cf9bd completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:33 a.m.