Triple
T21717264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conrail blue |
E536061
|
entity |
| Predicate | associatedLogoColor |
P21170
|
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: [Conrail blue, associatedLogoColor, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedLogoColor Context triple: [Conrail blue, associatedLogoColor, white]
-
A.
logoColor
chosen
Indicates the color or primary color scheme used in an entity’s logo.
-
B.
associatedColour
Indicates that one entity is linked to another as its characteristic or representative colour.
-
C.
associatedWithCompanyLogo
Indicates a relationship where something is linked or connected to a specific company’s logo, such as by use, display, or representation.
-
D.
corporateColor
Indicates the official color or color scheme that represents a corporation’s brand or identity.
-
E.
serviceBrandColor
Indicates the association between a service and the color used to represent its brand identity.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96babdc81908226ec043dbe7431 |
completed | April 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:47 p.m.