Triple
T17728170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 444 |
E442518
|
entity |
| Predicate | previousLivery |
P42927
|
FINISHED |
| Object | South West Trains orange, red and blue 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: South West Trains orange, red and blue livery | Statement: [British Rail Class 444, previousLivery, South West Trains orange, red and blue livery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousLivery Context triple: [British Rail Class 444, previousLivery, South West Trains orange, red and blue livery]
-
A.
hasLivery
Indicates that one entity bears or displays the distinctive colors, markings, or branding (livery) associated with another entity.
-
B.
liveryFeature
Indicates a characteristic or design element that is part of a specific livery or external appearance scheme.
-
C.
liveryColors
chosen
Indicates the specific set of colors used as the official or characteristic color scheme associated with an entity (such as a brand, organization, or vehicle).
-
D.
previousAircraftUsed
Indicates that one aircraft was used immediately before another in a sequence of aircraft usage.
-
E.
formerColor
Indicates that an entity previously had a certain color, but no longer has that color now.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e3cb708190b47456ad2008a65e |
completed | April 19, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:08 a.m.