Triple

T4219184
Position Surface form Disambiguated ID Type / Status
Subject Vestfold og Telemark E94296 entity
Predicate containsTown P847 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: [Vestfold og Telemark, containsTown, Rjukan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rjukan
Context triple: [Vestfold og Telemark, containsTown, 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e0b2ee08190930600e1e802b325 completed March 12, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a858a5b08190990a896265ac9725 completed March 14, 2026, 6:26 p.m.
Created at: March 12, 2026, 11:04 p.m.