Triple

T16509977
Position Surface form Disambiguated ID Type / Status
Subject Nordland E401032 entity
Predicate hasDemonym P191 FINISHED
Object Nordlending
Nordlending is the term for a person originating from the Nordland region in northern Norway.
 E1217760 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: Nordlending | Statement: [Nordland, hasDemonym, Nordlending]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nordlending
Context triple: [Nordland, hasDemonym, Nordlending]
  • A. Nord
    Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
  • B. Nord
    Nord is an Italian publishing imprint known for releasing a wide range of fiction and non-fiction titles under the Gruppo Editoriale Mauri Spagnol umbrella.
  • C. Norrort
    Norrort is the collective name for the northern suburbs of Stockholm, Sweden, located north of the city center and commonly contrasted with the southern area known as Söderort.
  • D. Nienoord
    Nienoord is a historic Dutch estate and former noble manor known for its stately house, gardens, and heritage attractions in the province of Groningen.
  • E. Nordis
    Nordis is the popular nickname for Helsinki Ice Hall, a major indoor arena in Helsinki, Finland, best known as the longtime home venue of the HIFK ice hockey team.
  • 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: Nordlending
Triple: [Nordland, hasDemonym, Nordlending]
Generated description
Nordlending is the term for a person originating from the Nordland region in northern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nordlending
Target entity description: Nordlending is the term for a person originating from the Nordland region in northern Norway.
  • A. Nord
    Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
  • B. Nord
    Nord is an Italian publishing imprint known for releasing a wide range of fiction and non-fiction titles under the Gruppo Editoriale Mauri Spagnol umbrella.
  • C. Norrort
    Norrort is the collective name for the northern suburbs of Stockholm, Sweden, located north of the city center and commonly contrasted with the southern area known as Söderort.
  • D. Nienoord
    Nienoord is a historic Dutch estate and former noble manor known for its stately house, gardens, and heritage attractions in the province of Groningen.
  • E. Nordis
    Nordis is the popular nickname for Helsinki Ice Hall, a major indoor arena in Helsinki, Finland, best known as the longtime home venue of the HIFK ice hockey team.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e54f7508190804bbae4c9bc8fe3 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608038288190925586dfb7e64689 completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a0060fd5d6c819099d5d1ccaaa907c9 completed May 10, 2026, 10:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0061e78b68819095d554b2ff7a329a completed May 10, 2026, 10:45 a.m.
Created at: April 10, 2026, 5:14 a.m.