Triple

T15505060
Position Surface form Disambiguated ID Type / Status
Subject Princess Laurentien of the Netherlands E379059 entity
Predicate givenName P17 FINISHED
Object Laurentien E950021 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: Laurentien | Statement: [Princess Laurentien of the Netherlands, givenName, Laurentien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurentien
Context triple: [Princess Laurentien of the Netherlands, givenName, Laurentien]
  • A. Laurentien chosen
    Laurentien is a Dutch princess, writer, and literacy advocate, best known as Princess Laurentien of the Netherlands.
  • B. Laurentides
    Laurentides is a region in southwestern Quebec, Canada, known for its mountainous landscapes, forests, and popular year-round outdoor recreation.
  • C. Mauricie
    Mauricie is a central region of Quebec, Canada, known for its vast forests, rivers, and lakes, and for being part of the traditional territory of the Atikamekw people.
  • D. Plaine-du-Nord
    Plaine-du-Nord is a commune in northern Haiti known for its agricultural plains and proximity to the city of Cap-Haïtien.
  • E. Outaouais
    Outaouais is a western administrative region of Quebec, Canada, located along the Ottawa River and known for its mix of urban centers like Gatineau and vast forested and recreational areas.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcd5d948190b25a67a72ef980e9 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4a9bf88190b7c6b4874abe165f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:55 a.m.