Triple
T20888658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamma Microscopii |
E514350
|
entity |
| Predicate | visibleWavelengthColor |
P37838
|
FINISHED |
| Object | yellow |
—
|
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: yellow | Statement: [Gamma Microscopii, visibleWavelengthColor, yellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visibleWavelengthColor Context triple: [Gamma Microscopii, visibleWavelengthColor, yellow]
-
A.
primaryWavelength
Indicates the main or dominant wavelength associated with an entity, such as the principal wavelength at which it emits, reflects, or operates.
-
B.
visibleInBand
Indicates that something can be observed or detected within a specified spectral band or range of wavelengths.
-
C.
notableColor
chosen
Indicates that an entity is characteristically or prominently associated with a particular color.
-
D.
visorColor
Indicates the color attribute assigned to an entity’s visor.
-
E.
visualTone
Indicates how the visual style, mood, or aesthetic quality of one entity relates to or affects another.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05be4a081908de0d3f5dbe4429a |
completed | April 21, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:46 p.m.