Triple

T8163666
Position Surface form Disambiguated ID Type / Status
Subject Reinfeldt Cabinet II E190635 entity
Predicate hasMember P10 FINISHED
Object Jan Björklund E204061 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: Jan Björklund | Statement: [Reinfeldt Cabinet II, hasMember, Jan Björklund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Björklund
Context triple: [Reinfeldt Cabinet II, hasMember, Jan Björklund]
  • A. Jan Björklund chosen
    Jan Björklund is a Swedish politician and former leader of the Liberal Party who served as Sweden’s Minister for Education and Deputy Prime Minister.
  • B. Andreas Norlén
    Andreas Norlén is a Swedish politician who serves as the Speaker of the Riksdag, Sweden’s national legislature.
  • C. Janne Jönsson
    Janne Jönsson is a Swedish football manager and former player best known for his successful spell in charge of Norwegian club Stabæk Fotball.
  • D. Anders Hagfeldt
    Anders Hagfeldt is a Swedish chemist and academic leader known for his research in solar cell technology and his role as a university administrator.
  • E. Jesper Mattsson
    Jesper Mattsson is a Swedish former professional ice hockey forward known for his long career in the Swedish leagues and contributions to teams like Malmö Redhawks and the national team.
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4557ebc88190b4e2cab258374d23 completed March 31, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf35000c8190ba78f69b7b1290e8 completed April 1, 2026, 6:46 a.m.
Created at: March 30, 2026, 5:38 p.m.