Triple

T5290930
Position Surface form Disambiguated ID Type / Status
Subject Bergen Line E119738 entity
Predicate passesThrough P225 FINISHED
Object Geilo E433543 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: Geilo | Statement: [Bergen Line, passesThrough, Geilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geilo
Context triple: [Bergen Line, passesThrough, 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. 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.
  • C. Geirröd
    Geirröd is a fearsome giant from Norse mythology, best known for luring the god Thor into a deadly trap in his hall in Jotunheim.
  • D. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • E. Trysilelva
    Trysilelva is a major river in eastern Norway that flows southward through the Trysil region and continues into Sweden as part of the Klarälven–Göta älv watercourse.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84eac7b88190900142bd1310c0fd completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06f066988190a3df7e270df84fdd completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:52 p.m.