Triple

T23130987
Position Surface form Disambiguated ID Type / Status
Subject Holtålen E577166 entity
Predicate bordersWith P224 FINISHED
Object Rennebu NE NERFINISHED

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: Rennebu | Statement: [Holtålen, bordersWith, Rennebu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rennebu
Context triple: [Holtålen, bordersWith, Rennebu]
  • A. Rennebu chosen
    Rennebu is a rural municipality in Trøndelag county, Norway, known for its distinctive Y-shaped church and scenic valley landscapes.
  • B. Enebakk
    Enebakk is a rural municipality in Viken county, Norway, known for its forests, lakes, and proximity to the Oslo metropolitan area.
  • C. Rendalen
    Rendalen is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and outdoor recreation opportunities.
  • D. Norén
    Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
  • E. Follebu
    Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e87cd188190b466f7a4c9670e56 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.