Triple

T23022310
Position Surface form Disambiguated ID Type / Status
Subject Three Crowns Massif E573199 entity
Predicate locatedNear P294 FINISHED
Object Krościenko nad Dunajcem 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: Krościenko nad Dunajcem | Statement: [Three Crowns Massif, locatedNear, Krościenko nad Dunajcem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krościenko nad Dunajcem
Context triple: [Three Crowns Massif, locatedNear, Krościenko nad Dunajcem]
  • A. Krościenko nad Dunajcem chosen
    Krościenko nad Dunajcem is a picturesque village in southern Poland, known as a popular tourist and recreation center in the Pieniny Mountains along the Dunajec River.
  • B. Kroczyce
    Kroczyce is a village in southern Poland known as the seat of its rural administrative district within Zawiercie County in the Silesian Voivodeship.
  • C. Kresowa
    Kresowa is the nickname of the Polish 5th Kresowa Infantry Division, a World War II unit of the Polish Armed Forces in the West composed largely of soldiers from the eastern borderlands (Kresy).
  • D. Korczyna
    Korczyna is a village in southeastern Poland, known as a local administrative and residential center within the Subcarpathian region.
  • E. Dzierżęcinka
    Dzierżęcinka is a small river in northwestern Poland that flows through the city of Koszalin before reaching the Baltic Sea.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183ea23088190b2f42d9bf01514ac completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.