Triple

T6376449
Position Surface form Disambiguated ID Type / Status
Subject The Folke Filbyter statue E143477 entity
Predicate ownedBy P347 FINISHED
Object City of Linköping E48161 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: City of Linköping | Statement: [The Folke Filbyter statue, ownedBy, City of Linköping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Linköping
Context triple: [The Folke Filbyter statue, ownedBy, City of Linköping]
  • A. Linköping chosen
    Linköping is a major city in southern Sweden known for its university, high-tech industry, and historic cathedral.
  • B. Lidköping
    Lidköping is a Swedish town on the southern shore of Lake Vänern known for its historic center, ceramics industry, and role as a local commercial hub.
  • C. Nyköping
    Nyköping is a historic coastal town in southeastern Sweden known for its medieval castle, harbor, and role as a regional administrative and cultural center.
  • D. Norrköping
    Norrköping is a historic industrial city in eastern Sweden known for its preserved textile mills, waterways, and cultural institutions.
  • E. Köping
    Köping is a small industrial town in central Sweden known for its manufacturing heritage and location along the Köping River in Västmanland County.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0683bfc7081908b15c3c9a3c72e7b completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d9dd9dc8190b2aca25feda3e690 completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:33 p.m.