Triple
T2576806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee orange |
E56994
|
entity |
| Predicate | hasComplementaryColor |
P39900
|
FINISHED |
| Object | white |
—
|
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: white | Statement: [Tennessee orange, hasComplementaryColor, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComplementaryColor Context triple: [Tennessee orange, hasComplementaryColor, white]
-
A.
hasCrossColor
Indicates that an entity possesses a cross-shaped marking or pattern of a specified color.
-
B.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
C.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
D.
hasColorReference
Indicates that one entity serves as a reference or source for determining or specifying the color associated with another entity.
-
E.
hasColourScheme
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
- F. None of above. chosen
Provenance (4 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a73a508190bf12e889a5d4bbf3 |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0ce4dcc8190b17a65abf9bd1bb0 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd251b48c8190862c7b39ea1bf8ea |
completed | March 7, 2026, 7:22 a.m. |
Created at: March 6, 2026, 9:49 p.m.