Triple
T29097613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | orange (color) |
E735052
|
entity |
| Predicate | isSubtractiveMixtureOf |
P38059
|
FINISHED |
| Object | red pigment |
—
|
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: red pigment | Statement: [orange (color), isSubtractiveMixtureOf, red pigment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSubtractiveMixtureOf Context triple: [orange (color), isSubtractiveMixtureOf, red pigment]
-
A.
isSubtractiveCombination
Indicates that one entity is formed or derived by subtracting one or more components, values, or parts of another entity.
-
B.
isAdditiveFor
Indicates that one entity can be combined with another in a way that their effects or quantities sum together to produce a cumulative result.
-
C.
mixesWith
chosen
Indicates that one entity is combined or blended together with another entity to form a mixture.
-
D.
hasBlendOf
Indicates that something is composed of or contains a mixture of multiple specified components or elements.
-
E.
isAdditivelyIndecomposable
Indicates that an entity (typically an ordinal or algebraic object) cannot be expressed as a nontrivial sum of two smaller entities of the same kind.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 11:09 a.m.