Triple
T1754608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bentley |
E38523
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Bentley Motors Limited |
E38523
|
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: Bentley Motors Limited | Statement: [Bentley, formerName, Bentley Motors Limited]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bentley Motors Limited Context triple: [Bentley, formerName, Bentley Motors Limited]
-
A.
Bentley
chosen
Bentley is a British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
-
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.
Rolls-Royce Limited
Rolls-Royce Limited was a British engineering company renowned for producing luxury automobiles and pioneering aero engines that became crucial to Allied air power in the World Wars.
-
D.
Lotus Cars
Lotus Cars is a British sports car manufacturer renowned for its lightweight, high-performance vehicles and engineering innovation.
-
E.
Alvis Vehicles
Alvis Vehicles was a British manufacturer known for producing military armored vehicles and reconnaissance platforms for the British Army and international customers.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa641841748190ad05cac4a27cced9 |
completed | March 6, 2026, 5:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0e84c1c8190917edf14003cba81 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:31 p.m.