Triple

T5706864
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Meteorological Institute E125805 entity
Predicate abbreviation P43 FINISHED
Object MET Norway
MET Norway is Norway's national meteorological service, responsible for weather forecasting, climate research, and related public services.
 E539243 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: MET Norway | Statement: [Norwegian Meteorological Institute, abbreviation, MET Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MET Norway
Context triple: [Norwegian Meteorological Institute, abbreviation, MET Norway]
  • A. NOC Norway
    NOC Norway is the national Olympic committee responsible for organizing Norway’s participation in the Olympic Games and promoting Olympic sports within the country.
  • B. Osedalen
    Osedalen is a village in Froland municipality in Agder county in southern Norway.
  • C. SJ Norge
    SJ Norge is a Norwegian railway company operating passenger train services on key routes across Norway.
  • D. Molde
    Molde is a coastal town in western Norway known for its scenic fjord views, mild climate, and annual international jazz festival.
  • E. Hamar, Norway
    Hamar, Norway is a town in southeastern Norway known for its prominent ice sports facilities and role as a major venue for international speed skating competitions.
  • 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: MET Norway
Triple: [Norwegian Meteorological Institute, abbreviation, MET Norway]
Generated description
MET Norway is Norway's national meteorological service, responsible for weather forecasting, climate research, and related public services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MET Norway
Target entity description: MET Norway is Norway's national meteorological service, responsible for weather forecasting, climate research, and related public services.
  • A. NOC Norway
    NOC Norway is the national Olympic committee responsible for organizing Norway’s participation in the Olympic Games and promoting Olympic sports within the country.
  • B. Osedalen
    Osedalen is a village in Froland municipality in Agder county in southern Norway.
  • C. SJ Norge
    SJ Norge is a Norwegian railway company operating passenger train services on key routes across Norway.
  • D. Molde
    Molde is a coastal town in western Norway known for its scenic fjord views, mild climate, and annual international jazz festival.
  • E. Hamar, Norway
    Hamar, Norway is a town in southeastern Norway known for its prominent ice sports facilities and role as a major venue for international speed skating competitions.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0248751bc8190b12aaa42d1ef17e3 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a6c17608190a9a808c2c77d937c completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05b7b57d481909f830a6cf7f59c3e completed March 22, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69c05c2046c48190a5d100f2dfad8d7b completed March 22, 2026, 9:16 p.m.
Created at: March 22, 2026, 3:45 p.m.