Triple

T22097032
Position Surface form Disambiguated ID Type / Status
Subject Pozsony County E546062 entity
Predicate alternativeName P39 FINISHED
Object Pressburg 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: Pressburg County | Statement: [Pozsony County, alternativeName, Pressburg County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pressburg County
Context triple: [Pozsony County, alternativeName, Pressburg County]
  • A. Pressburg County chosen
    Pressburg County was a historic administrative region of the Kingdom of Hungary centered on the city of Pressburg (now Bratislava), encompassing parts of present-day western Slovakia and neighboring areas.
  • B. Wetzel County
    Wetzel County is a rural county in northern West Virginia known for its small Appalachian communities and location along the Ohio River.
  • C. Lennox County
    Lennox County was a former county in Ontario, Canada, that later became part of the amalgamated Lennox and Addington County.
  • D. Nicholas County
    Nicholas County is a largely rural county in central West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
  • E. Kemper County
    Kemper County is a rural county in eastern Mississippi known for its small communities, agricultural landscape, and historical significance in the state.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128ea00d48190b020aba80dcdbec9 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:30 p.m.