Triple

T13808261
Position Surface form Disambiguated ID Type / Status
Subject Gran municipality E331814 entity
Predicate locatedOn P40 FINISHED
Object Hadeland plateau E863785 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: Hadeland plateau | Statement: [Gran municipality, locatedOn, Hadeland plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadeland plateau
Context triple: [Gran municipality, locatedOn, Hadeland plateau]
  • A. Hadeland plateau chosen
    The Hadeland plateau is a highland region in southeastern Norway characterized by forests, farmland, and scattered settlements across gently rolling terrain.
  • B. Røros plateau
    The Røros plateau is a high-altitude, largely treeless mountain plateau in central Norway known for its harsh climate and surrounding the historic mining town of Røros.
  • C. Brunnshög plateau
    Brunnshög plateau is a research-focused district in Lund, Sweden, known for hosting major scientific facilities and advanced infrastructure such as the MAX IV Laboratory.
  • D. Dransfeld plateau
    The Dransfeld plateau is a hilly upland region in Lower Saxony, Germany, characterized by its forested landscapes and rural settlements.
  • E. Ringerike plain
    The Ringerike plain is a fertile lowland region in Norway known for its productive farmland and agricultural significance.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026eae8481908b8880635e6a9152 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08fbc348190a199c5d92e0e46be completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.