Triple

T23427657
Position Surface form Disambiguated ID Type / Status
Subject Farsund E563237 entity
Predicate hasSettlement P1068 FINISHED
Object Vanse
Vanse is a village in Farsund municipality in Agder county, southern Norway, known for its coastal setting and historic church.
E1587248 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: Vanse | Statement: [Farsund, hasSettlement, Vanse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanse
Context triple: [Farsund, hasSettlement, Vanse]
  • A. Van
    Van is a historic city in eastern Anatolia, known as a major cultural and political center of ancient and medieval Armenian civilization on the shores of Lake Van.
  • B. Nyce
    Nyce is a music producer known for working on projects such as the release "Hidden Files."
  • C. Ballard
    Ballard is a historic waterfront neighborhood in northwest Seattle known for its maritime heritage, Scandinavian roots, and vibrant dining and nightlife scene.
  • D. Ballard
    Ballard is a surname most notably associated with Robert Ballard, the American oceanographer who discovered the wreck of the RMS Titanic.
  • E. Vimont
    Vimont is the namesake of the Prix Peccot-Vimont, a French mathematical prize awarded by the Collège de France to recognize promising young mathematicians.
  • 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: Vanse
Triple: [Farsund, hasSettlement, Vanse]
Generated description
Vanse is a village in Farsund municipality in Agder county, southern Norway, known for its coastal setting and historic church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vanse
Target entity description: Vanse is a village in Farsund municipality in Agder county, southern Norway, known for its coastal setting and historic church.
  • A. Van
    Van is a historic city in eastern Anatolia, known as a major cultural and political center of ancient and medieval Armenian civilization on the shores of Lake Van.
  • B. Nyce
    Nyce is a music producer known for working on projects such as the release "Hidden Files."
  • C. Ballard
    Ballard is a historic waterfront neighborhood in northwest Seattle known for its maritime heritage, Scandinavian roots, and vibrant dining and nightlife scene.
  • D. Ballard
    Ballard is a surname most notably associated with Robert Ballard, the American oceanographer who discovered the wreck of the RMS Titanic.
  • E. Vimont
    Vimont is the namesake of the Prix Peccot-Vimont, a French mathematical prize awarded by the Collège de France to recognize promising young mathematicians.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a54ae8ac8190b0bae2560582c904 completed April 29, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67a7b9d88190897588a9ec4fbd2a completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c7216508c81909bd949d50ee2d48b completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c770386a8819098358513016ae5ab completed May 19, 2026, 2:43 p.m.
Created at: April 17, 2026, 5:48 p.m.