Triple

T15217868
Position Surface form Disambiguated ID Type / Status
Subject Modified National Institute of Standards and Technology database E363685 entity
Predicate preprocessing P35348 FINISHED
Object size-normalized digits LITERAL 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: size-normalized digits | Statement: [Modified National Institute of Standards and Technology database, preprocessing, size-normalized digits]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preprocessing
Context triple: [Modified National Institute of Standards and Technology database, preprocessing, size-normalized digits]
  • A. preDraftProcess
    Indicates the procedural steps or activities that occur before a draft is created or formally written.
  • B. processingUse chosen
    Indicates that one entity uses or applies another entity as part of a processing or transformation activity.
  • C. pretext
    Indicates that one party uses a stated reason or excuse to conceal their true motive for an action or decision.
  • D. pretrainingRole
    Indicates the role or function an entity serves specifically during a pretraining phase or process.
  • E. precondition
    Indicates that one event, state, or condition must be true or occur before another event, state, or condition can validly or successfully take place.
  • F. None of above.

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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69deca8479188190b2e5d3bc708d7d07 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:11 a.m.