Triple

T37566240
Position Surface form Disambiguated ID Type / Status
Subject Ku-band E933962 entity
Predicate hasPolarizationOptions P38744 FINISHED
Object linear polarization 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: linear polarization | Statement: [Ku-band, hasPolarizationOptions, linear polarization]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPolarizationOptions
Context triple: [Ku-band, hasPolarizationOptions, linear polarization]
  • A. polarizationModes chosen
    Indicates the specific polarization states or configurations associated with a signal, wave, or optical/electromagnetic system.
  • B. hasPolarSetting
    Indicates that something is configured or oriented according to a polar coordinate or polar reference system.
  • C. hasPolarCoverage
    Indicates that an entity includes or provides coverage, presence, or applicability in polar regions.
  • D. hasColorOption
    Indicates that an entity offers or supports a particular color as one of its selectable options.
  • E. hasOpticalFeature
    Indicates that an entity possesses a specific optical characteristic or component, such as a visual property, element, or feature related to light or vision.
  • 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_69f76ecb4acc8190b53f96d0b013e415 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ffc1550cb481908628e446d9b67f7b completed May 9, 2026, 11:20 p.m.
PD Predicate disambiguation batch_69ffc10a74708190ae90e2c378791f70 completed May 9, 2026, 11:19 p.m.
Created at: May 3, 2026, 4:17 p.m.