Triple

T4873819
Position Surface form Disambiguated ID Type / Status
Subject Muszyna E109150 entity
Predicate partOf P40 FINISHED
Object Beskid Sądecki E16920 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: Beskid Sądecki | Statement: [Muszyna, partOf, Beskid Sądecki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beskid Sądecki
Context triple: [Muszyna, partOf, Beskid Sądecki]
  • A. Beskid Sądecki chosen
    Beskid Sądecki is a mountain range in southern Poland that forms part of the Western Beskids, known for its forested peaks, spa towns, and hiking trails.
  • B. Silesian Beskids
    The Silesian Beskids are a mountain range in the Western Carpathians known for their forested peaks, hiking trails, and popular ski resorts in southern Poland and the Czech Republic.
  • C. Beskid Wyspowy
    Beskid Wyspowy is a mountain range in southern Poland characterized by its isolated, island-like peaks and scenic hiking landscapes.
  • D. Central Beskids
    The Central Beskids are a mountain range in the Western Carpathians known for their forested ridges, scenic valleys, and popular hiking and outdoor recreation areas in Central Europe.
  • E. Maków Beskids
    Maków Beskids is a mountain range in the Western Beskids of southern Poland, known for its rolling forested hills and small towns.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9fa0b08190ab1fc7ec395dca37 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee05dd0388190b6e64256ba5cf5fc completed March 21, 2026, 6:15 p.m.
Created at: March 20, 2026, 1:27 p.m.