Triple

T12595410
Position Surface form Disambiguated ID Type / Status
Subject Tále E300718 entity
Predicate near P350 FINISHED
Object Mýto pod Ďumbierom E945778 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: Mýto pod Ďumbierom | Statement: [Tále, near, Mýto pod Ďumbierom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mýto pod Ďumbierom
Context triple: [Tále, near, Mýto pod Ďumbierom]
  • A. Mýto pod Ďumbierom chosen
    Mýto pod Ďumbierom is a village and ski resort in central Slovakia, situated in the Low Tatras mountains near the town of Brezno.
  • B. Dôle
    Dôle is a traditional Swiss red wine blend from the Valais region, typically made from Pinot Noir and Gamay grapes and known for its fruity, approachable character.
  • C. Třemošná
    Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
  • D. Nebušice
    Nebušice is a residential district on the northwestern edge of Prague, known for its green surroundings and proximity to the international school community.
  • E. Šumice
    Šumice is a residential neighborhood and park area in Belgrade, Serbia, known for its green spaces and sports facilities within the municipality of Voždovac.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cf33b88190bff339fcd3142cc8 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec49af881908abb948567b82b74 completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:08 p.m.