Triple

T8301685
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Wikinews E194362 entity
Predicate hasSisterProject P14971 FINISHED
Object Norwegian Wikivoyage
Norwegian Wikivoyage is the Norwegian-language edition of Wikivoyage, a collaboratively written, free online travel guide.
E724636 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: Norwegian Wikivoyage | Statement: [Norwegian Wikinews, hasSisterProject, Norwegian Wikivoyage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwegian Wikivoyage
Context triple: [Norwegian Wikinews, hasSisterProject, Norwegian Wikivoyage]
  • A. Norwegian Wikinews
    Norwegian Wikinews is the Norwegian-language edition of the Wikinews project, a collaboratively written, free-content news source.
  • B. Finn.no
    Finn.no is Norway’s largest online marketplace platform, widely used for buying and selling goods, property, cars, and services.
  • C. Tvedestrand
    Tvedestrand is a coastal town and municipality in southern Norway known for its wooden houses, maritime heritage, and picturesque archipelago.
  • D. Folkestad, Norway
    Folkestad, Norway is a small village in Norway historically notable as the birthplace of King Haakon IV.
  • E. mainland Norway
    Mainland Norway is the large continuous landmass of Norway in Northern Europe, excluding its offshore islands and territories such as Svalbard and Jan Mayen.
  • 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: Norwegian Wikivoyage
Triple: [Norwegian Wikinews, hasSisterProject, Norwegian Wikivoyage]
Generated description
Norwegian Wikivoyage is the Norwegian-language edition of Wikivoyage, a collaboratively written, free online travel guide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Norwegian Wikivoyage
Target entity description: Norwegian Wikivoyage is the Norwegian-language edition of Wikivoyage, a collaboratively written, free online travel guide.
  • A. Norwegian Wikinews
    Norwegian Wikinews is the Norwegian-language edition of the Wikinews project, a collaboratively written, free-content news source.
  • B. Finn.no
    Finn.no is Norway’s largest online marketplace platform, widely used for buying and selling goods, property, cars, and services.
  • C. Tvedestrand
    Tvedestrand is a coastal town and municipality in southern Norway known for its wooden houses, maritime heritage, and picturesque archipelago.
  • D. Folkestad, Norway
    Folkestad, Norway is a small village in Norway historically notable as the birthplace of King Haakon IV.
  • E. mainland Norway
    Mainland Norway is the large continuous landmass of Norway in Northern Europe, excluding its offshore islands and territories such as Svalbard and Jan Mayen.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e891030819097f4a26992a8b469 completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68bcb43081909e3a8a00947d03f2 completed April 1, 2026, 6:49 p.m.
NEDg Description generation batch_69cd6d58032c8190ba99f78670924ae5 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e536724819095ad006bc0f013a4 completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:53 p.m.