Triple

T35847764
Position Surface form Disambiguated ID Type / Status
Subject Far Infrared Absolute Spectrophotometer E1036260 entity
Predicate temperatureMeasurementAccuracy P62233 FINISHED
Object about 0.1 mK relative to a 2.7 K blackbody 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: about 0.1 mK relative to a 2.7 K blackbody | Statement: [Far Infrared Absolute Spectrophotometer, temperatureMeasurementAccuracy, about 0.1 mK relative to a 2.7 K blackbody]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temperatureMeasurementAccuracy
Context triple: [Far Infrared Absolute Spectrophotometer, temperatureMeasurementAccuracy, about 0.1 mK relative to a 2.7 K blackbody]
  • A. hasAccuracy chosen
    Indicates that something possesses a specified level or measure of correctness, precision, or exactness in relation to a standard or reference.
  • B. hasTemperature
    Indicates that an entity possesses or is characterized by a specific temperature value.
  • C. measurementSetting
    Indicates the specific conditions, parameters, or configuration under which a measurement is taken or recorded.
  • D. temperatureParameterControls
    Indicates that one temperature-related parameter determines, adjusts, or influences the value or behavior of another.
  • E. temperatureConditions
    Indicates the specific thermal or weather-related temperature state or range affecting an entity or situation.
  • 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_69f76e1a29e8819088280f26096aeb55 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa3883d48190b05e3d2da7a017ae completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8d435288190b30b1991fb003121 completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.