Triple

T5336075
Position Surface form Disambiguated ID Type / Status
Subject Boller and Chivens spectrograph E123828 entity
Predicate calibration P50659 FINISHED
Object wavelength calibration using comparison lamps 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: wavelength calibration using comparison lamps | Statement: [Boller and Chivens spectrograph, calibration, wavelength calibration using comparison lamps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: calibration
Context triple: [Boller and Chivens spectrograph, calibration, wavelength calibration using comparison lamps]
  • A. calibratedFor
    Indicates that something has been adjusted or tuned to operate accurately or optimally for a specific target, condition, or context.
  • B. hasCalibration chosen
    Indicates that an entity is associated with or uses a specific calibration configuration, setting, or procedure.
  • C. supportsHardwareCalibration
    Indicates that one entity provides the capability or functionality to perform calibration operations on another entity’s hardware.
  • D. measurement
    Indicates a relationship where one entity quantifies or assigns a value to some property, attribute, or extent of another entity according to a defined scale or standard.
  • E. precision
    Indicates the degree to which an action, measurement, or outcome is carried out with exactness, minimal deviation, and fine-grained accuracy.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85b104c081908b81236a0142e1c8 completed March 20, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69bd84583dbc819088a03e3afb30178c completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2 p.m.