Triple

T21840680
Position Surface form Disambiguated ID Type / Status
Subject MET Norway E539243 entity
Predicate abbreviation P43 FINISHED
Object MET Norway NE NERFINISHED

How this triple was built (2 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: [MET Norway, abbreviation, MET Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MET Norway
Context triple: [MET Norway, abbreviation, MET Norway]
  • A. MET Norway chosen
    MET Norway is Norway's national meteorological service, responsible for weather forecasting, climate research, and related public services.
  • B. N-1 Norge
    N-1 Norge was the Italian-built semi-rigid airship used by Roald Amundsen and Umberto Nobile in 1926 for the first verified flight over the North Pole.
  • C. 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.
  • D. MS Nordnorge
    MS Nordnorge is a Norwegian coastal passenger and cruise ship operated on the Hurtigruten coastal route, known for voyages along Norway’s fjords and Arctic coastline.
  • E. Mandal, Norway
    Mandal, Norway is a small coastal town in southern Norway known for its historic wooden architecture and sandy beaches.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7ab71e081908e3d3293743e6409 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.