Triple

T16430858
Position Surface form Disambiguated ID Type / Status
Subject Thermal Infrared Sensor E399066 entity
Predicate band10WavelengthRange P42973 FINISHED
Object 10.6–11.19 micrometers 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: 10.6–11.19 micrometers | Statement: [Thermal Infrared Sensor, band10WavelengthRange, 10.6–11.19 micrometers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: band10WavelengthRange
Context triple: [Thermal Infrared Sensor, band10WavelengthRange, 10.6–11.19 micrometers]
  • A. wavelengthRangeLowerBoundMicrometers chosen
    Indicates the minimum wavelength value, expressed in micrometers, that defines the lower limit of a wavelength range for the related entity or measurement.
  • B. supportsWavelengthRange
    Indicates that an entity is capable of operating over, handling, or being compatible with a specified range of wavelengths.
  • C. hasBandRange
    Indicates that one entity has an associated range or span of bands (such as frequency or wavelength intervals) defined by the other entity.
  • D. channelWavelength
    Indicates the specific wavelength at which a given channel operates or is defined.
  • E. observingBand
    Indicates that an entity is observing or monitoring another entity using a specific spectral band or frequency range.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fe0f488190ac34aa677c980a20 completed April 18, 2026, 6:47 a.m.
PD Predicate disambiguation batch_69e22701d2288190bf8676050758f172 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:10 a.m.