Triple
T8902455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IC Bus |
E211960
|
entity |
| Predicate | colorStandard |
P23088
|
FINISHED |
| Object | National School Bus Glossy 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: National School Bus Glossy Yellow | Statement: [IC Bus, colorStandard, National School Bus Glossy Yellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorStandard Context triple: [IC Bus, colorStandard, National School Bus Glossy Yellow]
-
A.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
chromaticityCoordinatesStandard
chosen
Indicates the standard or reference system used to define the chromaticity coordinates associated with a color measurement or representation.
-
C.
colorGrade
Indicates the qualitative or categorical assessment of an entity’s color according to a defined grading scale.
-
D.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
E.
colorOrigin
Indicates the source or cause from which an entity’s color is derived or determined.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc642a104081908df2d64e8f9ad0c8 |
completed | April 1, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cc5ecf55248190a29f00fbf99f13c4 |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:55 p.m.