Triple

T14816137
Position Surface form Disambiguated ID Type / Status
Subject Västerbotten County E348319 entity
Predicate contains P35 FINISHED
Object Lycksele
Lycksele is a small town in northern Sweden known as a regional service center and gateway to the inland forests and wilderness of Västerbotten.
E1122460 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: Lycksele | Statement: [Västerbotten County, contains, Lycksele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lycksele
Context triple: [Västerbotten County, contains, Lycksele]
  • A. Arvidsjaur
    Arvidsjaur is a small town in northern Sweden known for its military presence, winter testing facilities, and proximity to Arctic wilderness.
  • B. Skarpäng
    Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
  • C. Löningen
    Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
  • D. Risberg
    Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
  • E. Sälen
    Sälen is a Swedish mountain village and popular ski resort area in Dalarna, best known as the traditional starting point of the annual Vasaloppet cross-country ski race.
  • 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: Lycksele
Triple: [Västerbotten County, contains, Lycksele]
Generated description
Lycksele is a small town in northern Sweden known as a regional service center and gateway to the inland forests and wilderness of Västerbotten.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lycksele
Target entity description: Lycksele is a small town in northern Sweden known as a regional service center and gateway to the inland forests and wilderness of Västerbotten.
  • A. Arvidsjaur
    Arvidsjaur is a small town in northern Sweden known for its military presence, winter testing facilities, and proximity to Arctic wilderness.
  • B. Skarpäng
    Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
  • C. Löningen
    Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
  • D. Risberg
    Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
  • E. Sälen
    Sälen is a Swedish mountain village and popular ski resort area in Dalarna, best known as the traditional starting point of the annual Vasaloppet cross-country ski race.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe2c1ec81908b3dff7a5d0e85d0 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389598848190ba15e6eea2ba2903 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3a104b508190aeb51059b6f67c5f completed May 8, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69fe3add5b48819088607fe01fb4a9b6 completed May 8, 2026, 7:34 p.m.
Created at: April 10, 2026, 1:49 a.m.