Triple

T1161991
Position Surface form Disambiguated ID Type / Status
Subject Dunajec River E24512 entity
Predicate hasActivityCenter P18768 FINISHED
Object Szczawnica E109150 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: [Dunajec River, hasActivityCenter, Szczawnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szczawnica
Context triple: [Dunajec River, hasActivityCenter, Szczawnica]
  • A. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • B. Skarżysko-Kamienna
    Skarżysko-Kamienna is a town in south-central Poland known for its industrial heritage and location in the Świętokrzyskie Voivodeship.
  • C. Muszyna chosen
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • 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. Opatów
    Opatów is a historic town in south-central Poland known for its medieval architecture, including a Romanesque collegiate church and well-preserved town gate.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bf13ab648190931dea78202096e4 completed March 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae0a966a6c81909d1d21c489340134 completed March 8, 2026, 11:47 p.m.
Created at: March 1, 2026, 7:45 p.m.