Triple

T10429816
Position Surface form Disambiguated ID Type / Status
Subject Mysen E245880 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Spydeberg E442487 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: Spydeberg | Statement: [Mysen, hasNeighbouringSettlement, Spydeberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spydeberg
Context triple: [Mysen, hasNeighbouringSettlement, Spydeberg]
  • A. Spydeberg chosen
    Spydeberg is a small Norwegian village and former municipality in the traditional region of Østfold, known for its rural character and historic church.
  • B. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • C. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • D. Spiegelberg
    Spiegelberg is a rebellious and scheming member of the robber band in Friedrich Schiller’s play "Die Räuber," known for his ruthless ambition and treacherous nature.
  • E. Spiterstulen
    Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea62d6448190a7f5b785467824cf completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87eb068bc8190be9c7c916850278e completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:13 p.m.