Triple

T18432714
Position Surface form Disambiguated ID Type / Status
Subject Erik Karlsson E450311 entity
Predicate placeOfBirth P1 FINISHED
Object Landsbro, Sweden 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: Landsbro, Sweden | Statement: [Erik Karlsson, placeOfBirth, Landsbro, Sweden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landsbro, Sweden
Context triple: [Erik Karlsson, placeOfBirth, Landsbro, Sweden]
  • A. Landsbro, Sweden chosen
    Landsbro, Sweden is a small locality in Vetlanda Municipality, Jönköping County, known as the hometown of NHL defenseman Erik Karlsson.
  • B. Strömsholm, Sweden
    Strömsholm, Sweden is a small locality known for its historic royal estate and castle, long associated with Swedish nobility and equestrian traditions.
  • C. Mora, Sweden
    Mora, Sweden is a small town in central Sweden’s Dalarna region, known for its traditional folk culture, wooden Dala horses, and as the home of painter Anders Zorn.
  • D. Krylbo, Sweden
    Krylbo, Sweden is a small locality in Avesta Municipality best known internationally as the birthplace of legendary NHL defenseman Nicklas Lidström.
  • E. Lund, Sweden
    Lund, Sweden is a historic university city in southern Sweden known for Lund University, its vibrant research and technology sector, and well-preserved medieval center.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51b183adc8190987bc7749d0e673c completed April 19, 2026, 6:12 p.m.
Created at: April 10, 2026, 11:27 a.m.