Triple

T12261188
Position Surface form Disambiguated ID Type / Status
Subject Esaias Tegnér E292227 entity
Predicate placeOfDeath P21 FINISHED
Object Växjö, Sweden E328762 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: Växjö, Sweden | Statement: [Esaias Tegnér, placeOfDeath, Växjö, Sweden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Växjö, Sweden
Context triple: [Esaias Tegnér, placeOfDeath, Växjö, Sweden]
  • A. Växjö, Sweden
    Växjö is a mid-sized city in southern Sweden known for its environmental sustainability initiatives, universities, and role as a regional cultural and economic center in Småland.
  • B. Värnamo, Sweden
    Värnamo, Sweden is a small industrial town in Jönköping County in southern Sweden, known for its manufacturing sector and as the hometown of prominent politician Annie Lööf.
  • C. Växjö chosen
    Växjö is a city in southern Sweden known for its lakeside setting, environmental sustainability initiatives, and role as a regional cultural and educational center.
  • D. 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.
  • E. Ven, Sweden
    Ven, Sweden is a small island in the Øresund Strait best known as the site of Tycho Brahe’s 16th-century Uraniborg observatory and a popular destination for cycling and coastal scenery.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cd964ec81908241d2b9a96d1025 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ac3ce008190856a917c2c75862a completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.