Triple

T13267212
Position Surface form Disambiguated ID Type / Status
Subject Humenné E315952 entity
Predicate hasTwinTown P919 FINISHED
Object Sanok 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: Sanok | Statement: [Humenné, hasTwinTown, Sanok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanok
Context triple: [Humenné, hasTwinTown, Sanok]
  • A. Sanok chosen
    Sanok is a historic town in southeastern Poland, known for its medieval heritage and open-air ethnographic museum showcasing the culture of the Carpathian region.
  • B. Stary Sącz
    Stary Sącz is a historic town in southern Poland known for its well-preserved medieval urban layout and cultural heritage.
  • C. Szczekociny
    Szczekociny is a small historic town in southern Poland, known for its location in the Silesian Voivodeship and the nearby site of the 1794 Battle of Szczekociny.
  • D. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • E. Hrubieszów
    Hrubieszów is a historic town in eastern Poland near the Ukrainian border, known for its multicultural heritage and location in the Lublin region.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
Created at: April 9, 2026, 9:25 p.m.