Triple
T8192863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhavish Aggarwal |
E191355
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Ola Electric Mobility |
E718324
|
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: Ola Electric Mobility | Statement: [Bhavish Aggarwal, coFounded, Ola Electric Mobility]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ola Electric Mobility Context triple: [Bhavish Aggarwal, coFounded, Ola Electric Mobility]
-
A.
Ola Electric Mobility
chosen
Ola Electric Mobility is an Indian electric vehicle and clean energy company best known for its electric scooters and efforts to build a large-scale EV ecosystem, including manufacturing and battery technologies.
-
B.
Ola Auto
Ola Auto is a ride-hailing service segment of Ola Cabs that connects passengers with auto-rickshaw drivers via the Ola mobile app.
-
C.
Li Auto
Li Auto is a Chinese electric vehicle manufacturer known for its extended-range hybrid SUVs and focus on smart, family-oriented cars.
-
D.
Škoda Electric
Škoda Electric is a Czech manufacturer specializing in electric public transport vehicles and equipment, particularly trolleybuses and related traction systems.
-
E.
BYD Auto
BYD Auto is a major Chinese automobile manufacturer best known for its electric and hybrid vehicles and rapid global expansion in the new energy vehicle market.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5c1d7aa48190adbbce88b3bed1a3 |
completed | March 31, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3495a2808190844cbd8e22458ebc |
completed | April 1, 2026, 3:07 p.m. |
Created at: March 30, 2026, 5:42 p.m.