Triple
T7924760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Leyland |
E184031
|
entity |
| Predicate | ownedBrand |
P1500
|
FINISHED |
| Object | Alvis |
E103121
|
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: Alvis | Statement: [British Leyland, ownedBrand, Alvis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvis Context triple: [British Leyland, ownedBrand, Alvis]
-
A.
Alvis Vehicles
chosen
Alvis Vehicles was a British manufacturer known for producing military armored vehicles and reconnaissance platforms for the British Army and international customers.
-
B.
Arrol
Arrol is a Scottish surname most notably associated with Sir William Arrol, a prominent 19th-century civil engineer known for major bridge-building projects.
-
C.
MG T-Type
The MG T-Type is a series of classic British two-seat sports cars produced by MG from the mid-1930s to the mid-1950s, renowned for their nimble handling and iconic pre- and post-war roadster styling.
-
D.
Bentley
Bentley is a British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
-
E.
Bentley
Bentley is a small rural village and civil parish in East Hampshire, England, known for its countryside setting and traditional English character.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aad48908190911905b4635bf01e |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bf89a0c81908e1cb988c0bc1d62 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:06 p.m.