Triple

T2427217
Position Surface form Disambiguated ID Type / Status
Subject Rymanów E53557 entity
Predicate hasPart P35 FINISHED
Object Rymanów-Zdrój E53557 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: Rymanów-Zdrój | Statement: [Rymanów, hasPart, Rymanów-Zdrój]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rymanów-Zdrój
Context triple: [Rymanów, hasPart, Rymanów-Zdrój]
  • A. Rymanów chosen
    Rymanów is a historic town in southeastern Poland, known for its spa traditions and as the birthplace of Nobel Prize–winning physicist Isidor Isaac Rabi.
  • B. 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.
  • C. Duszniki-Zdrój
    Duszniki-Zdrój is a historic spa town in southwestern Poland, renowned for its mineral springs and picturesque mountain setting.
  • D. 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.
  • E. 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.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99d0b1c8190bf0a94fa07919d21 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf637be4819096874a24e87f84ab completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:42 p.m.