Triple

T4365668
Position Surface form Disambiguated ID Type / Status
Subject Hardangervidda E98764 entity
Predicate nearbyCity P350 FINISHED
Object Rjukan E422285 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: Rjukan | Statement: [Hardangervidda, nearbyCity, Rjukan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rjukan
Context triple: [Hardangervidda, nearbyCity, Rjukan]
  • A. Rjukan chosen
    Rjukan is a Norwegian industrial town in a deep valley in Telemark, known for its hydroelectric power heritage and World War II heavy water sabotage.
  • B. Stetinden
    Stetinden is a distinctive, obelisk-shaped mountain in Nordland, Norway, renowned among climbers and often called Norway’s national mountain.
  • C. Rissala
    Rissala is a locality in Finland known primarily for hosting a major Finnish Air Force base associated with the Karelian Air Command.
  • D. Ryhall
    Ryhall is a village and civil parish in the South Kesteven district of Lincolnshire, England, known for its historic church and rural character.
  • E. Ryhall
    Ryhall is a village and civil parish in the county of Rutland in the East Midlands of England.
  • 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_69b5dbcbbd1881908eb9f0ea6b2fe16b completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:17 p.m.