Triple

T4873844
Position Surface form Disambiguated ID Type / Status
Subject Muszyna E109150 entity
Predicate hasMineralWaterBrand P40804 FINISHED
Object Muszynianka E109150 NE FINISHED

How this triple was built (3 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: Muszynianka | Statement: [Muszyna, hasMineralWaterBrand, Muszynianka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muszynianka
Context triple: [Muszyna, hasMineralWaterBrand, Muszynianka]
  • A. Pasłęk
    Pasłęk is a historic town in northern Poland known for its medieval architecture and location within the Warmian-Masurian Voivodeship.
  • B. 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.
  • C. Porąbka
    Porąbka is a village in southern Poland, known as the birthplace of communist-era leader Edward Gierek.
  • D. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • E. Płośnica
    Płośnica is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMineralWaterBrand
Context triple: [Muszyna, hasMineralWaterBrand, Muszynianka]
  • A. mineralWaterCommercialisedBy
    Indicates that a specific mineral water product is marketed, distributed, or sold by a particular commercial entity or company.
  • B. hasWineBrand
    Indicates a relationship where an entity is associated with or offers a specific wine brand.
  • C. hasMineralSpringsType
    Indicates that an entity is associated with or characterized by a specific type or category of mineral springs.
  • D. hasBrandName chosen
    Indicates that an entity is associated with or identified by a specific brand name.
  • E. hasMineral
    Indicates that one entity contains, includes, or is composed of a specified mineral.
  • F. None of above.

Provenance (4 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ff981fc819080d4466c6fe06cf3 completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67f5b51c8190a8114450084d2b13 completed March 21, 2026, 9:42 a.m.
PD Predicate disambiguation batch_69bd6c28e56081908ee411ac94c3769e completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:27 p.m.