Triple

T4365666
Position Surface form Disambiguated ID Type / Status
Subject Hardangervidda E98764 entity
Predicate nearbyCity P350 FINISHED
Object Eidfjord E376637 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: Eidfjord | Statement: [Hardangervidda, nearbyCity, Eidfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eidfjord
Context triple: [Hardangervidda, nearbyCity, Eidfjord]
  • A. Eidfjord chosen
    Eidfjord is a small Norwegian village and municipality in Vestland county, known for its dramatic fjord landscape, waterfalls, and status as a popular cruise and tourist destination.
  • B. Osafjorden
    Osafjorden is a side fjord of Norway’s Hardangerfjord, known for its steep mountain scenery and tranquil, narrow waters.
  • C. Aurlandsfjord
    Aurlandsfjord is a scenic branch of Norway’s Sognefjord, renowned for its steep mountainsides, deep blue waters, and picturesque fjord villages.
  • D. Eidfjorden
    Eidfjorden is a scenic inner branch of Norway’s Hardangerfjord, known for its steep mountainsides, waterfalls, and fjord landscapes.
  • E. Ranfjorden
    Ranfjorden is a long, narrow fjord in Nordland county, Norway, known for its dramatic coastal landscape and the industrial town of Mo i Rana along its shores.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35200263081909bb326a4d7a8db99 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa0121b48190899cb4be8b87a93b completed March 21, 2026, 1:53 a.m.
Created at: March 12, 2026, 11:17 p.m.