Triple

T12915222
Position Surface form Disambiguated ID Type / Status
Subject Royal Norwegian Society of Sciences and Letters E308962 entity
Predicate shortName P43 FINISHED
Object DKNVS E308962 NE FINISHED

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: DKNVS | Statement: [Royal Norwegian Society of Sciences and Letters, shortName, DKNVS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DKNVS
Context triple: [Royal Norwegian Society of Sciences and Letters, shortName, DKNVS]
  • A. DKNVS chosen
    DKNVS is the abbreviation for the Royal Norwegian Society of Sciences and Letters, one of Norway’s oldest and most prestigious learned societies dedicated to the advancement of science and scholarship.
  • B. Knv
    Knv is the station code for Knivsta railway station in Sweden.
  • C. DNKN
    DNKN is the ICAO airport code for Mallam Aminu Kano International Airport in Kano, Nigeria.
  • D. DKS
    DKS is the stock ticker symbol for Dick's Sporting Goods, a major U.S. retail chain specializing in sporting goods and outdoor equipment.
  • E. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a0d6508190bca9668e9e06abfe completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a571a3e48190a32d362adc6eaee2 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:41 p.m.