Triple

T12729523
Position Surface form Disambiguated ID Type / Status
Subject Szczawnica E304194 entity
Predicate officialName P66 FINISHED
Object Szczawnica E304194 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: Szczawnica | Statement: [Szczawnica, officialName, Szczawnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szczawnica
Context triple: [Szczawnica, officialName, Szczawnica]
  • A. Szczawnica chosen
    Szczawnica is a Polish spa and tourist town in southern Lesser Poland, known for its mineral springs, health resorts, and scenic location in the Pieniny region near the Dunajec River.
  • B. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • C. Skrzyczne
    Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
  • D. Szczucin
    Szczucin is a small town in southern Poland, situated near the Vistula River and known historically as a local trade and transport hub.
  • E. Szczecinek
    Szczecinek is a town in northwestern Poland known for its lakeside setting, historic architecture, and role as a local economic and cultural center in the West Pomeranian Voivodeship.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025e6bc748190b8099e7559569a90 completed May 10, 2026, 6:29 a.m.
Created at: April 9, 2026, 5:25 p.m.