Triple

T19725512
Position Surface form Disambiguated ID Type / Status
Subject Horten E473715 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Færder
Færder is a coastal municipality in Vestfold, Norway, known for its archipelago, maritime heritage, and the historic Færder Lighthouse.
E1392842 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: Færder | Statement: [Horten, hasNeighbouringMunicipality, Færder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Færder
Context triple: [Horten, hasNeighbouringMunicipality, Færder]
  • A. Sørvær
    Sørvær is a small fishing village and settlement located on the island of Sørøya in northern Norway.
  • B. Vinge
    Vinge is a surname most notably associated with Vernor Vinge, the American science fiction author and mathematician known for popularizing the concept of the technological singularity.
  • C. Farsø
    Farsø is a small Danish town in North Jutland, best known as the birthplace of Nobel Prize–winning author Johannes V. Jensen.
  • D. Falster
    Falster is a Danish Baltic Sea island known for its rural landscapes, coastal tourism, and position as a transit route between Zealand and Germany.
  • E. Øgderen
    Øgderen is a lake in southeastern Norway that forms part of the Haldenvassdraget watercourse system.
  • 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: Færder
Triple: [Horten, hasNeighbouringMunicipality, Færder]
Generated description
Færder is a coastal municipality in Vestfold, Norway, known for its archipelago, maritime heritage, and the historic Færder Lighthouse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Færder
Target entity description: Færder is a coastal municipality in Vestfold, Norway, known for its archipelago, maritime heritage, and the historic Færder Lighthouse.
  • A. Sørvær
    Sørvær is a small fishing village and settlement located on the island of Sørøya in northern Norway.
  • B. Vinge
    Vinge is a surname most notably associated with Vernor Vinge, the American science fiction author and mathematician known for popularizing the concept of the technological singularity.
  • C. Farsø
    Farsø is a small Danish town in North Jutland, best known as the birthplace of Nobel Prize–winning author Johannes V. Jensen.
  • D. Falster
    Falster is a Danish Baltic Sea island known for its rural landscapes, coastal tourism, and position as a transit route between Zealand and Germany.
  • E. Øgderen
    Øgderen is a lake in southeastern Norway that forms part of the Haldenvassdraget watercourse system.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649f7bedc81908f784832c0fc10a1 completed April 20, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4ee6b24819080a73814f45b76b3 completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b5e9961881908f224154ec12c366 completed May 16, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_6a07b67964b481909af269c6b5db6527 completed May 16, 2026, 12:12 a.m.
Created at: April 10, 2026, 1:46 p.m.