Triple

T20245824
Position Surface form Disambiguated ID Type / Status
Subject Pressburg County E498421 entity
Predicate borderedBy P224 FINISHED
Object Trencsén 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: Trencsén County | Statement: [Pressburg County, borderedBy, Trencsén County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trencsén County
Context triple: [Pressburg County, borderedBy, Trencsén County]
  • A. Trencsén County chosen
    Trencsén County was a historic administrative county of the Kingdom of Hungary, located in what is now northwestern Slovakia.
  • B. Szepes County
    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.
  • C. Turóc County
    Turóc County was a historic administrative county of the Kingdom of Hungary, located in what is today central Slovakia.
  • D. 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.
  • E. Pozsony County
    Pozsony County was a historic administrative region of the Kingdom of Hungary centered on the city now known as Bratislava.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a26c8481908f408fb6426aece9 completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:40 p.m.