Triple

T7007459
Position Surface form Disambiguated ID Type / Status
Subject Kvitøya E162492 entity
Predicate hasHeadland P940 FINISHED
Object Hornodden
Hornodden is a remote Arctic headland located on the island of Kvitøya in the Svalbard archipelago of Norway.
 E635761 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: Hornodden | Statement: [Kvitøya, hasHeadland, Hornodden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hornodden
Context triple: [Kvitøya, hasHeadland, Hornodden]
  • A. Hjorthagen
    Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
  • B. Högalid
    Högalid is a district in the Södermalm area of central Stockholm, Sweden, known for its elevated location and the prominent Högalid Church that overlooks the city.
  • C. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • D. Nannfeldt
    Nannfeldt was a mycologist and taxonomist known for his influential work on the classification and nomenclature of fungi, particularly within the Ascomycota.
  • E. Bolnes
    Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
  • 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: Hornodden
Triple: [Kvitøya, hasHeadland, Hornodden]
Generated description
Hornodden is a remote Arctic headland located on the island of Kvitøya in the Svalbard archipelago of Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hornodden
Target entity description: Hornodden is a remote Arctic headland located on the island of Kvitøya in the Svalbard archipelago of Norway.
  • A. Hjorthagen
    Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
  • B. Högalid
    Högalid is a district in the Södermalm area of central Stockholm, Sweden, known for its elevated location and the prominent Högalid Church that overlooks the city.
  • C. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • D. Nannfeldt
    Nannfeldt was a mycologist and taxonomist known for his influential work on the classification and nomenclature of fungi, particularly within the Ascomycota.
  • E. Bolnes
    Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc35cb848190a839919021efce81 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a43c3a081909b9150d36ba107f5 completed March 28, 2026, 5:42 a.m.
NEDg Description generation batch_69c76b3c87708190a04c48c41bb9904b completed March 28, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69c76bb8c7788190bf54b805f651e28e completed March 28, 2026, 5:48 a.m.
Created at: March 27, 2026, 2:33 p.m.