Triple

T18332687
Position Surface form Disambiguated ID Type / Status
Subject Åkerlund & Rausing E439184 entity
Predicate headquartersLocation P62 FINISHED
Object Lund 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: Lund | Statement: [Åkerlund & Rausing, headquartersLocation, Lund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lund
Context triple: [Åkerlund & Rausing, headquartersLocation, Lund]
  • A. Lund
    Lund is a common Scandinavian surname of Swedish origin.
  • B. 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.
  • C. Lund
    Lund is a small municipality in Rogaland county in southwestern Norway, known for its rural landscapes and proximity to lakes and mountains.
  • D. Lund
    Lund is a small unincorporated rural community located in Iron County, Utah, historically known as a railroad stop and gateway to nearby desert regions.
  • E. Lund
    Lund is a scientist and taxonomist known for formally describing species within the ant genus Dolichoderus.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecaf6f48190ae7547cc0f8e6efa completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.