Triple
T12080549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | erbium-doped fiber amplifier |
E287664
|
entity |
| Predicate | gainSpectrumShape |
P48586
|
FINISHED |
| Object | non-flat |
—
|
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: non-flat | Statement: [erbium-doped fiber amplifier, gainSpectrumShape, non-flat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainSpectrumShape Context triple: [erbium-doped fiber amplifier, gainSpectrumShape, non-flat]
-
A.
spectralProperty
chosen
Indicates a relationship where an entity possesses or is characterized by a specific spectral feature, measurement, or behavior (e.g., in its frequency, wavelength, or energy spectrum).
-
B.
positionOnSpectrum
Indicates the relative location or value of something along a defined continuum or range of possible states.
-
C.
scalingProperty
Indicates how a quantity or behavior changes in proportion to changes in another variable, typically under resizing or rescaling conditions.
-
D.
valueFunctionShape
Indicates the mathematical form or structural pattern of a value function used to evaluate states, actions, or outcomes in a decision or optimization process.
-
E.
powerConcentration
Indicates the degree to which authority or control is centralized in a single entity or small group rather than being widely distributed.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bf4f508190842927e7e0642235 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.