Triple

T10666290
Position Surface form Disambiguated ID Type / Status
Subject 2017 Winter Universiade E251364 entity
Predicate primarySpeedSkatingVenue P34390 FINISHED
Object Medeu E878325 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: Medeu | Statement: [2017 Winter Universiade, primarySpeedSkatingVenue, Medeu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medeu
Context triple: [2017 Winter Universiade, primarySpeedSkatingVenue, Medeu]
  • A. Medeu chosen
    Medeu is a high-altitude ice skating rink and sports complex near Almaty, Kazakhstan, famous for its speed skating records and scenic mountain setting.
  • B. Camperduin
    Camperduin is a coastal village in North Holland, Netherlands, historically notable as the namesake of the naval Battle of Camperdown.
  • C. Legmeer
    Legmeer is a residential neighborhood within the Dutch municipality of Uithoorn in the province of North Holland.
  • D. Eelde
    Eelde is a village in the Dutch province of Drenthe, known for its proximity to Groningen Airport Eelde and its historic annual flower parade.
  • E. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31f87748190bb44db8afa901763 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998b77db08190bce5a7ce24dbc085 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:08 p.m.