Triple

T1094720
Position Surface form Disambiguated ID Type / Status
Subject Skaugum E24245 entity
Predicate hasLocalName P6353 FINISHED
Object Skaugum gård E24245 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: Skaugum gård | Statement: [Skaugum, hasLocalName, Skaugum gård]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skaugum gård
Context triple: [Skaugum, hasLocalName, Skaugum gård]
  • A. Skaugum chosen
    Skaugum is the official country residence of the Norwegian royal family, located in Asker near Oslo.
  • B. Hellasgården
    Hellasgården is a popular outdoor recreation area near Stockholm known for its forests, lakes, hiking trails, and traditional Swedish saunas.
  • C. Djursholm
    Djursholm is an affluent suburban district of Stockholm, Sweden, known for its villas, garden-city planning, and status as one of the country’s wealthiest residential areas.
  • D. Viggbyholm
    Viggbyholm is a residential urban area in the northern Stockholm region of Sweden, known for its proximity to water, green spaces, and commuter connections into central Stockholm.
  • E. Ursvik
    Ursvik is a residential district and urban area within the Stockholm region of Sweden, known for its mix of modern housing developments and proximity to green spaces.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99e92308190b8a8c499e1630672 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59a058b88190beb883bf35377316 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:42 p.m.