Triple

T33761069
Position Surface form Disambiguated ID Type / Status
Subject Brun combinatorial sieve E865105 entity
Predicate originCountryOfDeveloper P79843 FINISHED
Object Norway E2896 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: Norway | Statement: [Brun combinatorial sieve, originCountryOfDeveloper, Norway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originCountryOfDeveloper
Context triple: [Brun combinatorial sieve, originCountryOfDeveloper, Norway]
  • A. countryOfDeveloper chosen
    Indicates the country in which the developer of an entity (such as a product, software, or work) is based or originates.
  • B. creationCountry
    Indicates the country in which an entity was originally created, produced, or brought into existence.
  • C. countryOfGameOrigin
    Indicates the country where a game was originally created, developed, or first produced.
  • D. organizationCountryOfOrigin
    Indicates the country where an organization was originally founded or established.
  • E. countryOfOrigin
    Indicates the country from which an entity originally comes or was first produced, created, or established.
  • F. None of above.

Provenance (4 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_69f3498d3b748190aa3c4006c1f32f38 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a035ead9ee0819099806d2670dc9c50 completed May 12, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a365c58426481909a2d839b73b13d68 completed June 20, 2026, 9:24 a.m.
PD Predicate disambiguation batch_6a035dc9210c8190a9044c6a53211520 completed May 12, 2026, 5:05 p.m.
Created at: May 1, 2026, 1:45 a.m.