Triple

T16708420
Position Surface form Disambiguated ID Type / Status
Subject Aurland Municipality E406031 entity
Predicate hasTouristVillage P55845 FINISHED
Object Flåm E364971 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: Flåm | Statement: [Aurland Municipality, hasTouristVillage, Flåm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flåm
Context triple: [Aurland Municipality, hasTouristVillage, Flåm]
  • A. Flåm chosen
    Flåm is a small Norwegian village in Aurland municipality, best known for its dramatic fjord scenery and the scenic Flåm Railway that attracts many tourists.
  • B. Geiranger
    Geiranger is a small Norwegian village in the Sunnmøre region of Møre og Romsdal, renowned as a popular tourist destination surrounded by dramatic fjord and mountain scenery.
  • C. Flåm Railway
    Flåm Railway is a scenic Norwegian train line renowned for its steep mountain route, dramatic fjord landscapes, and status as one of the world’s most picturesque rail journeys.
  • D. Gåsefjord
    Gåsefjord is a fjord in eastern Greenland’s Scoresby Sund region, known for its remote Arctic landscapes, ice-filled waters, and surrounding rugged mountains.
  • E. Dovre
    Dovre is a mountainous municipality in Innlandet county, Norway, known for its rugged landscapes and proximity to Dovrefjell National Park.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38650c3808190a561f22b169dc3ae completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c79657ec8190b1b3500b7a99df0a completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 5:20 a.m.