Triple
T2835725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chessie System |
E62343
|
entity |
| Predicate | liveryColors |
P42927
|
FINISHED |
| Object | 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: yellow | Statement: [Chessie System, liveryColors, yellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liveryColors Context triple: [Chessie System, liveryColors, yellow]
-
A.
liveryFeature
Indicates a characteristic or design element that is part of a specific livery or external appearance scheme.
-
B.
hasLivery
Indicates that one entity bears or displays the distinctive colors, markings, or branding (livery) associated with another entity.
-
C.
ribbonColours
Indicates that there is an association between an entity and one or more colours of ribbons related to it.
-
D.
hasHomeUniformTrimColor
Indicates that an entity’s home uniform features a specified trim or accent color.
-
E.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdeec60a08190b76b52042713d647 |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd0ce8b08190ba28c192988f38ce |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde4895dc819097c396c5d31ac1d1 |
completed | March 7, 2026, 8:14 a.m. |
Created at: March 6, 2026, 10:01 p.m.