Triple

T2222019
Position Surface form Disambiguated ID Type / Status
Subject Linköping E48161 entity
Predicate partOf P40 FINISHED
Object southern Sweden E173675 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: southern Sweden | Statement: [Linköping, partOf, southern Sweden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: southern Sweden
Context triple: [Linköping, partOf, southern Sweden]
  • A. southern Sweden chosen
    Southern Sweden is the historically rich and agriculturally fertile southernmost region of Sweden, encompassing provinces like Skåne and known for its milder climate and proximity to Denmark.
  • B. eastern Sweden
    Eastern Sweden is a populous and economically significant region of Sweden that includes the capital city of Stockholm and its surrounding areas.
  • C. northern Sweden
    Northern Sweden is a sparsely populated, subarctic region known for its vast forests, mountains, and traditional Sámi culture, including reindeer herding and indigenous languages.
  • D. Bohuslän
    Bohuslän is a coastal province in western Sweden known for its rugged granite shoreline, fishing villages, and archipelago along the Skagerrak.
  • E. Uppland
    Uppland is a historical province in east-central Sweden that includes parts of the greater Stockholm area and key infrastructure such as Stockholm Arlanda Airport.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc03bfdd48190bfb96ec3e41c22dc completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6afc6dd881909dd51d8a18ab4c74 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:47 p.m.