Triple

T9405178
Position Surface form Disambiguated ID Type / Status
Subject Jimmie Åkesson E226567 entity
Predicate residence P75 FINISHED
Object Sölvesborg, Sweden E686352 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: Sölvesborg, Sweden | Statement: [Jimmie Åkesson, residence, Sölvesborg, Sweden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sölvesborg, Sweden
Context triple: [Jimmie Åkesson, residence, Sölvesborg, Sweden]
  • A. Helsingborg, Sweden
    Helsingborg, Sweden is a coastal city in southern Sweden known for its historic architecture, strategic location on the Öresund Strait, and role as a regional commercial and cultural center.
  • B. Sölvesborg chosen
    Sölvesborg is a coastal town in southern Sweden known for its medieval architecture, historic town center, and location on the Baltic Sea in Blekinge County.
  • C. Marstrand, Sweden
    Marstrand, Sweden is a picturesque coastal town and island known for its historic Carlsten Fortress, sailing culture, and scenic archipelago setting.
  • D. Landsbro, Sweden
    Landsbro, Sweden is a small locality in Vetlanda Municipality, Jönköping County, known as the hometown of NHL defenseman Erik Karlsson.
  • E. 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.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51c125dc8190a6438cf0ee23e7a9 completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1013279d88190aac1d25cc6aeb1fb completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:46 p.m.