Triple
T22308768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 153 |
E551456
|
entity |
| Predicate | builder |
P3143
|
FINISHED |
| Object | Leyland Bus |
—
|
NE NERFINISHED |
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: Leyland Bus | Statement: [British Rail Class 153, builder, Leyland Bus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leyland Bus Context triple: [British Rail Class 153, builder, Leyland Bus]
-
A.
Leyland DAF Vans
Leyland DAF Vans was a British commercial vehicle manufacturer known for producing light vans and chassis cabs that later formed the basis of the LDV brand.
-
B.
Leyland Trucks
chosen
Leyland Trucks is a British commercial vehicle manufacturer known for producing medium and heavy-duty trucks, now operating as part of the global PACCAR group.
-
C.
Scammell
Scammell is an English surname borne by various notable individuals, including figures in American Revolutionary history and British industry.
-
D.
Solaris Bus & Coach
Solaris Bus & Coach is a Polish manufacturer of buses and trolleybuses widely used in public transport systems across Europe.
-
E.
Daimler Buses
Daimler Buses is the bus and coach manufacturing division of Daimler AG, producing a wide range of commercial passenger vehicles for global markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574c8a248190bf5eef5be78381fd |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.