Triple

T22447169
Position Surface form Disambiguated ID Type / Status
Subject Artistic-2.0 E554889 entity
Predicate hasStandardAbbreviation P8075 FINISHED
Object Artistic-2.0 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: Artistic-2.0 | Statement: [Artistic-2.0, hasStandardAbbreviation, Artistic-2.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artistic-2.0
Context triple: [Artistic-2.0, hasStandardAbbreviation, Artistic-2.0]
  • A. Artistic-2.0 chosen
    Artistic-2.0 is a widely used free and open-source software license known for its flexibility and compatibility with other licenses, particularly in the Perl community.
  • B. Artist 2.0
    Artist 2.0 is a studio album by American rapper and singer A Boogie wit da Hoodie that showcases his melodic trap style and introspective lyrics.
  • C. ARTM
    ARTM is the regional public transit authority responsible for planning, coordinating, and financing metropolitan transportation services in the Greater Montreal area of Quebec, Canada.
  • D. Art Mix
    Art Mix was an American character actor best known for his roles in early Western films during the silent and early sound eras.
  • E. Allart
    Allart is a Dutch given name historically borne by figures such as the 17th-century painter Allart van Everdingen.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b48be0481909f4601b732424e5b completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:47 p.m.