Triple

T15302709
Position Surface form Disambiguated ID Type / Status
Subject Folgefonna E365826 entity
Predicate municipality P852 FINISHED
Object Etne E711851 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: Etne | Statement: [Folgefonna, municipality, Etne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etne
Context triple: [Folgefonna, municipality, Etne]
  • A. Etne chosen
    Etne is a rural municipality in Vestland county, western Norway, known for its fjords, mountains, and traditional farming and fishing communities.
  • B. Etnedal
    Etnedal is a rural municipality in Innlandet county, Norway, known for its forested valleys, agriculture, and outdoor recreation.
  • C. Rasis
    Rasis is the Latinized name of Al-Razi, a prominent Persian polymath and physician of the Islamic Golden Age known for his influential works in medicine and philosophy.
  • D. Oreolais
    Oreolais is a small genus of African warbler-like birds in the family Cisticolidae, typically found in forest and woodland habitats.
  • E. Embera
    Embera is an Indigenous people of Colombia and Panama known for their distinct languages, traditional riverine communities, and rich artistic and spiritual practices.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccd575c8190aa43262d3b73ef3c completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef86b8cc81909969098b1766f6b7 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.