Triple

T9634874
Position Surface form Disambiguated ID Type / Status
Subject Zeeman slower E232902 entity
Predicate outputVelocityRange P37470 FINISHED
Object tens of meters per second or less 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: tens of meters per second or less | Statement: [Zeeman slower, outputVelocityRange, tens of meters per second or less]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: outputVelocityRange
Context triple: [Zeeman slower, outputVelocityRange, tens of meters per second or less]
  • A. hasTypicalVelocity chosen
    Indicates that an entity is associated with a characteristic or commonly observed speed at which it typically moves or operates.
  • B. speedAchieved
    Indicates that a particular speed has been reached or attained by an entity during an event or action.
  • C. maxSpeed
    Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
  • D. hasSlewRateTypical
    Indicates that an entity is characterized by a specified typical (nominal) slew rate value.
  • E. hasSpeedLimitRange
    Indicates that there is a specified minimum and maximum speed limit applicable to a given context or segment.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b2a0e2c8190ab5aaa223b1e1cde completed April 1, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69ccd5acfa5c8190aaba3cf548723604 completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:11 p.m.