Triple

T6072797
Position Surface form Disambiguated ID Type / Status
Subject Busko County E135323 entity
Predicate hasSpaResorts P31753 FINISHED
Object Solec-Zdrój E565901 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: Solec-Zdrój | Statement: [Busko County, hasSpaResorts, Solec-Zdrój]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solec-Zdrój
Context triple: [Busko County, hasSpaResorts, Solec-Zdrój]
  • A. Solec-Zdrój chosen
    Solec-Zdrój is a spa village in southern Poland known for its therapeutic mineral waters and health resort facilities.
  • B. Polanica-Zdrój
    Polanica-Zdrój is a well-known spa resort town in southwestern Poland, noted for its mineral springs, health treatments, and picturesque mountain surroundings.
  • C. Lądek-Zdrój
    Lądek-Zdrój is one of Poland’s oldest and most renowned spa towns, famed for its historic architecture and therapeutic mineral springs in the Lower Silesian region.
  • D. Szczawnica
    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.
  • E. Krynica-Zdrój
    Krynica-Zdrój is a well-known Polish spa and resort town in the Beskid Sądecki mountains, famed for its mineral springs and health tourism.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05759d29481908912015e734ab943 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125274e1c8190b452fdeeb788a6f2 completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:11 p.m.