Triple

T22959633
Position Surface form Disambiguated ID Type / Status
Subject Symanzik improvement program E570856 entity
Predicate alternativeName P39 FINISHED
Object Symanzik improvement 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: Symanzik improvement | Statement: [Symanzik improvement program, alternativeName, Symanzik improvement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Symanzik improvement
Context triple: [Symanzik improvement program, alternativeName, Symanzik improvement]
  • A. Symanzik improvement program chosen
    The Symanzik improvement program is a theoretical framework in lattice quantum field theory that systematically reduces discretization errors by adding higher-dimensional operators to the lattice action.
  • B. Zimikon
    Zimikon is a small locality within the municipality of Volketswil in the canton of Zurich, Switzerland.
  • C. Sikma
    Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
  • D. Sicogi
    Sicogi is a residential neighborhood located in the Marcory commune of Abidjan, Côte d'Ivoire.
  • E. Sygma
    Sygma is a musical artist associated with the track "Love Lies."
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f3c96081909abd6ec32103d4c3 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.