Triple

T15207649
Position Surface form Disambiguated ID Type / Status
Subject Fred Forbat E363429 entity
Predicate placeOfDeath P21 FINISHED
Object Vällingby
Vällingby is a suburban district in western Stockholm, Sweden, known as a pioneering post-war planned community and modernist housing area.
 E1150387 NE FINISHED

How this triple was built (4 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: Vällingby | Statement: [Fred Forbat, placeOfDeath, Vällingby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vällingby
Context triple: [Fred Forbat, placeOfDeath, Vällingby]
  • A. Sandviken
    Sandviken is an industrial town in central Sweden, best known as the historic home of the steel company Sandvik.
  • B. Stureby
    Stureby is a residential district in southern Stockholm, Sweden, known for its suburban character and local amenities.
  • C. Ljungby
    Ljungby is a small Swedish town in southern Småland known for its lakeside surroundings, forestry-based economy, and role as a local commercial and cultural center.
  • D. Ronneby
    Ronneby is a historic town in southern Sweden known for its well-preserved wooden architecture, spa traditions, and scenic location in Blekinge County.
  • E. Melmerby
    Melmerby is a small rural village located in the Coverdale area of the Yorkshire Dales in North Yorkshire, England.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vällingby
Triple: [Fred Forbat, placeOfDeath, Vällingby]
Generated description
Vällingby is a suburban district in western Stockholm, Sweden, known as a pioneering post-war planned community and modernist housing area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vällingby
Target entity description: Vällingby is a suburban district in western Stockholm, Sweden, known as a pioneering post-war planned community and modernist housing area.
  • A. Sandviken
    Sandviken is an industrial town in central Sweden, best known as the historic home of the steel company Sandvik.
  • B. Stureby
    Stureby is a residential district in southern Stockholm, Sweden, known for its suburban character and local amenities.
  • C. Ljungby
    Ljungby is a small Swedish town in southern Småland known for its lakeside surroundings, forestry-based economy, and role as a local commercial and cultural center.
  • D. Ronneby
    Ronneby is a historic town in southern Sweden known for its well-preserved wooden architecture, spa traditions, and scenic location in Blekinge County.
  • E. Melmerby
    Melmerby is a small rural village located in the Coverdale area of the Yorkshire Dales in North Yorkshire, England.
  • F. None of above. chosen

Provenance (5 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b8e2788190bd1831762e4181ae completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef88f8ac881908ca32de44b5aa53a completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefce7de4881909bed29d98e4c82ce completed May 9, 2026, 9:22 a.m.
NED2 Entity disambiguation (via description) batch_69fefdaebcf481909bddf548508e32ba completed May 9, 2026, 9:26 a.m.
Created at: April 10, 2026, 3:11 a.m.