Triple

T20871618
Position Surface form Disambiguated ID Type / Status
Subject 1980 Winter Paralympics E513905 entity
Predicate openingCeremonyLocation P128 FINISHED
Object Geilo NE NERFINISHED

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: Geilo | Statement: [1980 Winter Paralympics, openingCeremonyLocation, Geilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geilo
Context triple: [1980 Winter Paralympics, openingCeremonyLocation, Geilo]
  • A. Geilo chosen
    Geilo is a Norwegian mountain village and popular year-round resort known for its skiing, hiking, and proximity to the Hardangervidda plateau.
  • B. Hjølmo
    Hjølmo is a small rural area in the municipality of Eidfjord in Vestland county, Norway, known for its scenic fjord and mountain surroundings.
  • C. Giæver
    Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
  • D. Bjorli
    Bjorli is a Norwegian village known for its ski resort and scenic mountain surroundings in Innlandet county.
  • E. Giske
    Giske is a coastal municipality in Møre og Romsdal county, Norway, known for its islands, fishing communities, and proximity to the town of Ålesund.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c4649cf88190b3ad946576aa46aa completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.