Triple
T25979734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fellgett advantage |
E646033
|
entity |
| Predicate | measurementMode |
P21259
|
FINISHED |
| Object | simultaneous acquisition of all spectral elements |
—
|
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: simultaneous acquisition of all spectral elements | Statement: [Fellgett advantage, measurementMode, simultaneous acquisition of all spectral elements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measurementMode Context triple: [Fellgett advantage, measurementMode, simultaneous acquisition of all spectral elements]
-
A.
measurementSetting
Indicates the specific conditions, parameters, or configuration under which a measurement is taken or recorded.
-
B.
measureType
Indicates the specific kind or category of measurement that characterizes how a quantity or value is assessed.
-
C.
measurementModel
Indicates that a specific model or framework is used to define how a variable or construct is quantified or measured.
-
D.
instrumentMode
chosen
Indicates the manner, setting, or operational mode in which an instrument is used to perform an action or measurement.
-
E.
measurementScenario
Indicates a contextual situation or setup under which a measurement is taken, defining how, when, and under what conditions the measurement occurs.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6050e507881909e3bc0c33e8a8c7e |
completed | May 2, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:54 a.m.