Triple

T13390814
Position Surface form Disambiguated ID Type / Status
Subject Jordanów E319565 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Beskid Makowski E1051014 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 Makowski | Statement: [Jordanów, hasNearbyAttraction, Beskid Makowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beskid Makowski
Context triple: [Jordanów, hasNearbyAttraction, Beskid Makowski]
  • A. Beskid Makowski chosen
    Beskid Makowski is a mountain range in southern Poland that forms part of the Western Beskids within the Outer Western Carpathians.
  • B. Beskid Żywiecki
    Beskid Żywiecki is a mountain range in the Western Beskids of southern Poland, known for its high peaks, dense forests, and popular hiking and skiing areas.
  • C. Beskid Sądecki
    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.
  • D. 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.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d543348190a9c1be509b015c0f completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdeea935081909baffaadc8a8fac7 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 9:34 p.m.