Triple

T22695571
Position Surface form Disambiguated ID Type / Status
Subject Si(Li) detector E561163 entity
Predicate hasEnergyResolution P76544 FINISHED
Object on the order of 150 eV at 5.9 keV 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: on the order of 150 eV at 5.9 keV | Statement: [Si(Li) detector, hasEnergyResolution, on the order of 150 eV at 5.9 keV]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEnergyResolution
Context triple: [Si(Li) detector, hasEnergyResolution, on the order of 150 eV at 5.9 keV]
  • A. hasEnergySpectrum
    Indicates that one entity possesses or is characterized by a distribution of energy values (an energy spectrum).
  • B. hasOrderOfMagnitudeInElectronvolts chosen
    Indicates that one quantity has an energy scale whose order of magnitude is expressed in electronvolts (eV) relative to another value or reference.
  • C. typicalEnergyRange
    Indicates the usual or characteristic range of energy values associated with an entity, process, or interaction.
  • D. electronEnergy
    Indicates the amount of energy associated with an electron in a given state, configuration, or context.
  • E. spectralResolution
    Indicates the fineness with which a system can distinguish or separate different wavelengths or frequencies within a spectrum.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789e05d88190b9d51bb3f8e3e9d4 completed April 29, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69ee62bd657c81909f7b01245b080a5f completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:14 p.m.