Triple

T5789719
Position Surface form Disambiguated ID Type / Status
Subject Low Beskids E128361 entity
Predicate containsTown P847 FINISHED
Object Sanok E258423 NE FINISHED

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: [Low Beskids, containsTown, Sanok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanok
Context triple: [Low Beskids, containsTown, 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. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • D. Hrubieszów
    Hrubieszów is a historic town in eastern Poland near the Ukrainian border, known for its multicultural heritage and location in the Lublin region.
  • E. Świdnica
    Świdnica is a historic town in southwestern Poland known for its well-preserved medieval architecture and the UNESCO-listed Church of Peace.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a5585788190821b8da40259e0e7 completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8681d57c08190b72d1b010db3a065 completed March 28, 2026, 11:45 p.m.
Created at: March 22, 2026, 3:51 p.m.