Triple
T2102470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Midlands Railway |
E37119
|
entity |
| Predicate | usesBrandColour |
P29272
|
FINISHED |
| Object | orange |
—
|
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: orange | Statement: [West Midlands Railway, usesBrandColour, orange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBrandColour Context triple: [West Midlands Railway, usesBrandColour, orange]
-
A.
usesTransportBrand
Indicates that one entity makes use of a transportation service, vehicle, or system associated with a specific brand.
-
B.
usedInBrand
Indicates that something (such as a component, material, or element) is utilized as part of or within a particular brand.
-
C.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
D.
hasColourScheme
chosen
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
-
E.
laterCaseColor
Indicates that the color of an entity’s case at a later time or stage in a sequence is being specified or related to another case color.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbabe1e9081908ea66c5406e2f1d9 |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7b7b6288190afa11b4d93bd5666 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.