Triple

T7280466
Position Surface form Disambiguated ID Type / Status
Subject European Ultras E163132 entity
Predicate includes P1393 FINISHED
Object Gerlachovský štít E99557 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: Gerlachovský štít | Statement: [European Ultras, includes, Gerlachovský štít]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerlachovský štít
Context triple: [European Ultras, includes, Gerlachovský štít]
  • A. Gerlachovský štít chosen
    Gerlachovský štít is the tallest peak in the High Tatras mountain range and the entire Carpathians, renowned as a prominent alpine destination in Central Europe.
  • B. Ziegenberg
    Ziegenberg is a locality in Hesse, Germany, historically notable for its role and nearby military installations during the later years of World War II.
  • C. Vysoké Skalky
    Vysoké Skalky is the highest peak of the Pieniny mountain range, located on the Slovak-Polish border in Central Europe.
  • D. Vyšné Hágy
    Vyšné Hágy is a mountain settlement in the High Tatras of northern Slovakia, known as a base for hiking and alpine tourism.
  • E. Zátopek
    Zátopek is a Czech surname most famously associated with Emil Zátopek, the legendary long-distance runner and four-time Olympic gold medalist.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb339b1081909f648864e210f98e completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db379e1c81908ebd4c44504ce5fb completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:59 p.m.