Triple
T24527420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comeng EMU |
E606704
|
entity |
| Predicate | operatorColourSchemes |
P29272
|
FINISHED |
| Object | Met green and gold livery |
—
|
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: Met green and gold livery | Statement: [Comeng EMU, operatorColourSchemes, Met green and gold livery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorColourSchemes Context triple: [Comeng EMU, operatorColourSchemes, Met green and gold livery]
-
A.
hasColourScheme
chosen
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
-
B.
formerColorScheme
Indicates that an entity previously used a particular color scheme but no longer does so.
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
colorSystem
Indicates that one entity is a system or scheme used to define, organize, or represent the colors of another entity.
-
E.
cupColorTheme
Indicates the color scheme or palette that characterizes a cup.
- 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_69e2c4c85778819085f5da9af3569ad5 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.