Triple
T24584900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainbow |
E608358
|
entity |
| Predicate | hasColorSpectrum |
P52512
|
FINISHED |
| Object | continuous |
—
|
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: continuous | Statement: [Rainbow, hasColorSpectrum, continuous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorSpectrum Context triple: [Rainbow, hasColorSpectrum, continuous]
-
A.
hasSpectralChannel
Indicates that something possesses or is associated with a specific spectral channel or band within an electromagnetic spectrum.
-
B.
hasColorRange
chosen
Indicates that an entity possesses or is associated with a specific span or set of colors, rather than a single discrete color.
-
C.
emitsSpectrum
Indicates that one entity produces or gives off electromagnetic radiation characterized by a particular spectrum.
-
D.
hasColorPlay
Indicates a relationship where something exhibits or incorporates playful or varied use of color.
-
E.
spectrum
Indicates a relationship where something is characterized or defined in terms of its position, range, or distribution along a continuous scale or set of varying values.
- 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a98600888190aa631d2c237af60a |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.