Triple
T32578575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange (color) |
E832715
|
entity |
| Predicate | canBeProducedByMixing |
P151192
|
FINISHED |
| Object | red light and green light |
—
|
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 light and green light | Statement: [Orange (color), canBeProducedByMixing, red light and green light]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeProducedByMixing Context triple: [Orange (color), canBeProducedByMixing, red light and green light]
-
A.
isProducedFrom
chosen
Indicates that something is created, generated, or derived from a specified source or input.
-
B.
mixesWith
Indicates that one entity is combined or blended together with another entity to form a mixture.
-
C.
mixingMethod
Indicates the technique or process used to combine multiple components or substances into a uniform mixture.
-
D.
hasAverageCompositionByVolume
Indicates that one entity has another entity as its specified average proportion of total volume in a mixture or system.
-
E.
isMixedDrink
Indicates that a beverage is a mixed drink, typically composed of two or more ingredients combined into a single drink.
- 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_69f349289adc81909f4374a58ec35a39 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
Created at: May 1, 2026, 1:04 a.m.