Triple

T7733537
Position Surface form Disambiguated ID Type / Status
Subject Pär Lagerkvist E175322 entity
Predicate placeOfDeath P21 FINISHED
Object Danderyd E26753 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: Danderyd | Statement: [Pär Lagerkvist, placeOfDeath, Danderyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danderyd
Context triple: [Pär Lagerkvist, placeOfDeath, Danderyd]
  • A. Bromma
    Bromma is a suburban district in western Stockholm, Sweden, known for its residential areas, green spaces, and the city’s secondary airport.
  • B. Danderyd, Sweden
    Danderyd, Sweden is an affluent suburban municipality just north of Stockholm, known for its high standard of living and residential character.
  • C. Danderyd Municipality chosen
    Danderyd Municipality is a small, affluent suburban municipality in the Stockholm metropolitan area of Sweden, known for its high standard of living and residential character.
  • D. Södertälje
    Södertälje is a Swedish city southwest of Stockholm known for its industrial heritage, diverse population, and strategic location linking Lake Mälaren with the Baltic Sea via the Södertälje Canal.
  • E. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70339c4b481909a56ae13f501e794 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be355e04819088598b5c7d61b848 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:06 p.m.