Triple
T5755748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce Motors |
E126961
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Bentley automobiles |
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 automobiles | Statement: [Rolls-Royce Motors, product, Bentley automobiles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bentley automobiles Context triple: [Rolls-Royce Motors, product, Bentley automobiles]
-
A.
Bentley
Bentley is a small village and civil parish in Suffolk, England, known for its rural character and traditional English countryside setting.
-
B.
Bentley
Bentley is a small rural village and civil parish in East Hampshire, England, known for its countryside setting and traditional English character.
-
C.
Bentley
chosen
Bentley is a British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
-
D.
Aston Martin
Aston Martin is a British luxury sports car manufacturer renowned for its high-performance grand tourers and long association with the James Bond film franchise.
-
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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02906848c8190bf7b0d62f57c27fa |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e47c1788190b5883df385475237 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:49 p.m.