Triple

T23554626
Position Surface form Disambiguated ID Type / Status
Subject Viamala region E578148 entity
Predicate hasSettlement P1068 FINISHED
Object Flerden
Flerden is a small Swiss village and municipality located in the mountainous canton of Graubünden.
E1590168 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: Flerden | Statement: [Viamala region, hasSettlement, Flerden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flerden
Context triple: [Viamala region, hasSettlement, Flerden]
  • A. Flers
    Flers is a commune and former industrial town in northwestern France, located in the Orne department of the Normandy region.
  • B. Fleringen
    Fleringen is a small village in the municipality of Dinkelland in the province of Overijssel in the eastern Netherlands.
  • C. Flen
    Flen is a small Swedish town known as the administrative center of Flen Municipality in the province of Södermanland.
  • D. Fruängen
    Fruängen is a Stockholm metro station on the red line, serving as the terminus of one of its southern branches in the Fruängen district.
  • E. Furttal
    Furttal is a small valley region in the canton of Zurich, Switzerland, known for its suburban communities and proximity to the city of Zurich.
  • 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: Flerden
Triple: [Viamala region, hasSettlement, Flerden]
Generated description
Flerden is a small Swiss village and municipality located in the mountainous canton of Graubünden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Flerden
Target entity description: Flerden is a small Swiss village and municipality located in the mountainous canton of Graubünden.
  • A. Flers
    Flers is a commune and former industrial town in northwestern France, located in the Orne department of the Normandy region.
  • B. Fleringen
    Fleringen is a small village in the municipality of Dinkelland in the province of Overijssel in the eastern Netherlands.
  • C. Flen
    Flen is a small Swedish town known as the administrative center of Flen Municipality in the province of Södermanland.
  • D. Fruängen
    Fruängen is a Stockholm metro station on the red line, serving as the terminus of one of its southern branches in the Fruängen district.
  • E. Furttal
    Furttal is a small valley region in the canton of Zurich, Switzerland, known for its suburban communities and proximity to the city of Zurich.
  • 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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aed253788190ba75109af0e91b37 completed April 29, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf67efbc8190a75c1d6cb9bd63f9 completed May 19, 2026, 10:08 p.m.
NEDg Description generation batch_6a0ce12579188190befd636d3714675a completed May 19, 2026, 10:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce187efa48190876f67fef4873af2 completed May 19, 2026, 10:17 p.m.
Created at: April 17, 2026, 6:12 p.m.