Triple

T15750537
Position Surface form Disambiguated ID Type / Status
Subject Pieniny region E381831 entity
Predicate hasSettlement P1068 FINISHED
Object Niedzica 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: Niedzica | Statement: [Pieniny region, hasSettlement, Niedzica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niedzica
Context triple: [Pieniny region, hasSettlement, Niedzica]
  • A. Niedzica chosen
    Niedzica is a village in southern Poland known for its historic castle overlooking the Czorsztyn Lake in the Pieniny Mountains.
  • B. Krasnobród
    Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
  • C. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • D. Poniatowa
    Poniatowa is a town in eastern Poland historically known as the site of a Nazi German forced labor camp during World War II.
  • E. Wiślica
    Wiślica is a historic town in south-central Poland, known for its medieval architecture and archaeological significance as one of the country’s oldest settlements.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502fd3608190b42e647b9c2b41a1 completed April 16, 2026, 2:57 a.m.
Created at: April 10, 2026, 4:47 a.m.