Triple

T18326780
Position Surface form Disambiguated ID Type / Status
Subject Rondslottet E439029 entity
Predicate locatedIn P40 FINISHED
Object Rondane 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: Rondane | Statement: [Rondslottet, locatedIn, Rondane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rondane
Context triple: [Rondslottet, locatedIn, Rondane]
  • A. Rondane chosen
    Rondane is a mountainous national park in central Norway known for its high peaks, alpine plateaus, and rich wildlife, including wild reindeer.
  • B. Dovrefjell
    Dovrefjell is a prominent mountainous region in central Norway known for its rugged peaks, national park, and rich wildlife including wild reindeer and musk oxen.
  • C. Valdresfjella
    Valdresfjella is a mountainous area in the Valdres region of Innlandet county in Norway, known for its high plateaus, hiking terrain, and scenic landscapes.
  • D. Skogsvåg
    Skogsvåg is a small coastal village in western Norway, located on the island of Sotra in Vestland county.
  • E. Fjell
    Fjell was a former municipality in Vestland county, Norway, encompassing coastal and island communities west of Bergen.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aab3e7c81909b1c0a688707dfd6 completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.