Triple

T4743528
Position Surface form Disambiguated ID Type / Status
Subject Crafoord Foundation E105303 entity
Predicate locatedIn P40 FINISHED
Object Lund, Sweden E222857 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: Lund, Sweden | Statement: [Crafoord Foundation, locatedIn, Lund, Sweden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lund, Sweden
Context triple: [Crafoord Foundation, locatedIn, Lund, Sweden]
  • A. Södertälje, Sweden
    Södertälje, Sweden is an industrial city southwest of Stockholm known for its major manufacturing plants, particularly in the automotive and heavy vehicle sectors.
  • B. Danderyd, Sweden
    Danderyd, Sweden is an affluent suburban municipality just north of Stockholm, known for its high standard of living and residential character.
  • C. Lund
    Lund is a common Scandinavian surname of Swedish origin.
  • D. Lund chosen
    Lund is a historic city in southern Sweden known for its medieval cathedral, prestigious university, and role as a significant cultural and academic center in Scandinavia.
  • E. Karlskoga, Sweden
    Karlskoga, Sweden is an industrial town in central Sweden best known for its historic arms manufacturer Bofors and its association with Alfred Nobel.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a85e9c81908e9c7bbbb998953e completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d851fcc8190bb7ae007f8a5ce1d completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:19 p.m.