Triple

T4931262
Position Surface form Disambiguated ID Type / Status
Subject Glåmdalen E110699 entity
Predicate containsSettlement P847 FINISHED
Object Flisa
Flisa is a small town in Innlandet county, Norway, known as a local commercial and administrative center in the Glåmdalen region.
 E480594 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: Flisa | Statement: [Glåmdalen, containsSettlement, Flisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flisa
Context triple: [Glåmdalen, containsSettlement, Flisa]
  • A. Filisur
    Filisur is a picturesque Swiss village in the canton of Graubünden, known for its historic center and proximity to the famous Landwasser Viaduct on the Rhaetian Railway.
  • B. Filitosa
    Filitosa is a renowned prehistoric archaeological site in southern Corsica, famous for its Bronze Age megalithic statues and stone structures.
  • C. Lafia
    Lafia is a major city in central Nigeria that serves as the administrative and economic hub of Nasarawa State.
  • D. Firiplaka
    Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
  • E. Faiha
    Faiha is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • 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: Flisa
Triple: [Glåmdalen, containsSettlement, Flisa]
Generated description
Flisa is a small town in Innlandet county, Norway, known as a local commercial and administrative center in the Glåmdalen region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flisa
Target entity description: Flisa is a small town in Innlandet county, Norway, known as a local commercial and administrative center in the Glåmdalen region.
  • A. Filisur
    Filisur is a picturesque Swiss village in the canton of Graubünden, known for its historic center and proximity to the famous Landwasser Viaduct on the Rhaetian Railway.
  • B. Filitosa
    Filitosa is a renowned prehistoric archaeological site in southern Corsica, famous for its Bronze Age megalithic statues and stone structures.
  • C. Lafia
    Lafia is a major city in central Nigeria that serves as the administrative and economic hub of Nasarawa State.
  • D. Firiplaka
    Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
  • E. Faiha
    Faiha is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd706245e48190a61d573438461c30 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77b18b6c8190bbc8d0764f6a03bf completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be78ce97948190a0a54b1baa0ff979 completed March 21, 2026, 10:54 a.m.
NED2 Entity disambiguation (via description) batch_69be7929cec08190a6fb28385c5bfce9 completed March 21, 2026, 10:55 a.m.
Created at: March 20, 2026, 1:30 p.m.