Triple

T20648026
Position Surface form Disambiguated ID Type / Status
Subject Crown Princess Märtha of Norway E507408 entity
Predicate residence P75 FINISHED
Object Skaugum 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: Skaugum | Statement: [Crown Princess Märtha of Norway, residence, Skaugum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skaugum
Context triple: [Crown Princess Märtha of Norway, residence, Skaugum]
  • A. Skaugum chosen
    Skaugum is the official country residence of the Norwegian royal family, located in Asker near Oslo.
  • B. Skaaren
    Skaaren is a surname most notably associated with Warren Skaaren, an American screenwriter and film producer.
  • C. Sköndal
    Sköndal is a residential district in southern Stockholm, Sweden, known for its green areas and proximity to lakes.
  • D. Skage
    Skage is a small village in the municipality of Overhalla in Trøndelag county, Norway.
  • E. Laukvik
    Laukvik is a small coastal village in northern Norway, located in the Lofoten archipelago and known for its scenic Arctic landscapes and fishing heritage.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1fbfa881908a5b9db143e362d0 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.