Triple

T21852288
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Intelligence Service E539533 entity
Predicate abbreviation P43 FINISHED
Object E-tjenesten 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: E-tjenesten | Statement: [Norwegian Intelligence Service, abbreviation, E-tjenesten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E-tjenesten
Context triple: [Norwegian Intelligence Service, abbreviation, E-tjenesten]
  • A. E-tjenesten chosen
    E-tjenesten is Norway’s military foreign intelligence agency responsible for gathering, analyzing, and reporting information relevant to national security and defense.
  • B. Etsaut
    Etsaut is a small mountain commune in southwestern France, located in the Pyrenees near the Spanish border.
  • C. Regnecentralen
    Regnecentralen was a pioneering Danish computer company and research institution known for its early contributions to computer science and computing technology in Denmark.
  • D. E-Trou
    E-Trou is a music producer and songwriter best known for his work as part of the hip-hop and trap-focused producer collective Internet Money.
  • E. Sevasadan
    Sevasadan is a landmark Hindi-Urdu social novel by Premchand that critiques the oppression of women and the hypocrisies of early 20th-century Indian society.
  • 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0bd59bcbc819093829feb152e090d completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:56 p.m.