Triple

T14501490
Position Surface form Disambiguated ID Type / Status
Subject Gausdal E359649 entity
Predicate borders P224 FINISHED
Object Ringebu E433530 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: Ringebu | Statement: [Gausdal, borders, Ringebu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ringebu
Context triple: [Gausdal, borders, Ringebu]
  • A. Ringebu chosen
    Ringebu is a municipality in Innlandet county, Norway, known for its historic stave church and scenic Gudbrandsdalen valley landscape.
  • B. Rennebu
    Rennebu is a rural municipality in Trøndelag county, Norway, known for its distinctive Y-shaped church and scenic valley landscapes.
  • C. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • D. Kleeburg
    Kleeburg is a historical territory in the Holy Roman Empire that gave its name to the cadet branch of the Wittelsbach dynasty known as the Counts Palatine of Zweibrücken-Kleeburg.
  • E. Berar
    Berar was a historical region in central India that became a significant Maratha-ruled province, later integrated into British India and now largely part of Maharashtra.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de94dfe484819086dd971606e6478e completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9b6f7481908b7eb76226a93545 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.