Triple

T21807773
Position Surface form Disambiguated ID Type / Status
Subject Högsby Municipality E538391 entity
Predicate administrativeCenter P1474 FINISHED
Object Högsby
Högsby is a small locality in Kalmar County, Sweden, known primarily as the seat of Högsby Municipality.
E1502295 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: Högsby | Statement: [Högsby Municipality, administrativeCenter, Högsby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Högsby
Context triple: [Högsby Municipality, administrativeCenter, Högsby]
  • A. Stureby
    Stureby is a residential district in southern Stockholm, Sweden, known for its suburban character and local amenities.
  • B. 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.
  • C. Melmerby
    Melmerby is a small rural village located in the Coverdale area of the Yorkshire Dales in North Yorkshire, England.
  • D. Mjölby
    Mjölby is a small Swedish town known for its agricultural surroundings and location in the southern part of Östergötland County.
  • E. Hörby
    Hörby is a small municipality in southern Sweden’s Skåne County, known for its rural landscape and traditional Swedish town character.
  • 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: Högsby
Triple: [Högsby Municipality, administrativeCenter, Högsby]
Generated description
Högsby is a small locality in Kalmar County, Sweden, known primarily as the seat of Högsby Municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Högsby
Target entity description: Högsby is a small locality in Kalmar County, Sweden, known primarily as the seat of Högsby Municipality.
  • A. Stureby
    Stureby is a residential district in southern Stockholm, Sweden, known for its suburban character and local amenities.
  • B. 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.
  • C. Melmerby
    Melmerby is a small rural village located in the Coverdale area of the Yorkshire Dales in North Yorkshire, England.
  • D. Mjölby
    Mjölby is a small Swedish town known for its agricultural surroundings and location in the southern part of Östergötland County.
  • E. Hörby
    Hörby is a small municipality in southern Sweden’s Skåne County, known for its rural landscape and traditional Swedish town character.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f078047ca88190a0efa4bc7f2faf80 completed April 28, 2026, 9:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e86d8ec81908c8a5a63903e44a4 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f4358d48190a88208a55d19a9ef completed May 17, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0a404206e0819080c640619cd277ab completed May 17, 2026, 10:25 p.m.
Created at: April 16, 2026, 6:53 p.m.