Triple

T16871126
Position Surface form Disambiguated ID Type / Status
Subject UNOVIS E421166 entity
Predicate shortName P43 FINISHED
Object UNOVIS E421166 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: UNOVIS | Statement: [UNOVIS, shortName, UNOVIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNOVIS
Context triple: [UNOVIS, shortName, UNOVIS]
  • A. UNOVIS chosen
    UNOVIS was an early 20th-century avant-garde art collective led by Kazimir Malevich that promoted Suprematism and radical artistic experimentation in Vitebsk, Belarus.
  • B. UNOV
    UNOV is one of the main United Nations headquarters, located in Vienna, Austria, hosting various UN offices and agencies focused on issues such as drugs and crime, outer space affairs, and industrial development.
  • C. Optica
    Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
  • D. Avisio
    Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
  • E. Von's Vision
    Von's Vision is a charitable foundation created by NFL star Von Miller that provides eye care and corrective eyewear to children in need.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f1fe5881909b18438d771814e9 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2aeb9908190964a9403402186fb completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:29 a.m.