Triple
T1599814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leyland |
E34365
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Leyland Motors |
E34365
|
NE 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: Leyland Motors | Statement: [Leyland, knownFor, Leyland Motors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leyland Motors Context triple: [Leyland, knownFor, Leyland Motors]
-
A.
Alvis Vehicles
Alvis Vehicles was a British manufacturer known for producing military armored vehicles and reconnaissance platforms for the British Army and international customers.
-
B.
Rolls-Royce Motors
Rolls-Royce Motors was the British luxury automobile manufacturer that continued the production of Rolls-Royce cars after the original engineering company was restructured.
-
C.
Sunbeam
Sunbeam is a well-known consumer brand specializing in household appliances and home comfort products, owned by Newell Brands.
-
D.
Leyland
chosen
Leyland is a town in Lancashire, England, historically known for its vehicle manufacturing industry, particularly Leyland Motors.
-
E.
GKN Sankey
GKN Sankey was a British engineering and manufacturing company best known for producing military vehicles and automotive components.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9094a27908190bf0d9b5d43617192 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46aafce08190855f8e0b760ab5ac |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:28 p.m.