Triple

T9507189
Position Surface form Disambiguated ID Type / Status
Subject Helene Schjerfbeck E229298 entity
Predicate placeOfDeath P21 FINISHED
Object Saltsjöbaden E117385 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: Saltsjöbaden | Statement: [Helene Schjerfbeck, placeOfDeath, Saltsjöbaden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saltsjöbaden
Context triple: [Helene Schjerfbeck, placeOfDeath, Saltsjöbaden]
  • A. Saltsjöbaden chosen
    Saltsjöbaden is a coastal resort and residential area near Stockholm, Sweden, known for its historic seaside hotels, villas, and yacht harbor.
  • B. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • C. Kastlösa
    Kastlösa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
  • D. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • E. Sandviken
    Sandviken is an industrial town in central Sweden, best known as the historic home of the steel company Sandvik.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98543b1881908b537abdc1d2f9c0 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a2494c081908579592fa0fee90b completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:57 p.m.