Triple
T8362920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ola |
E197052
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Ola Electric |
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 | Statement: [Ola, hasSubsidiary, Ola Electric]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ola Electric Context triple: [Ola, hasSubsidiary, Ola Electric]
-
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.
Škoda Electric
Škoda Electric is a Czech manufacturer specializing in electric public transport vehicles and equipment, particularly trolleybuses and related traction systems.
-
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.
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.
-
E.
BYD
BYD is the National Rail station code for Barry Docks railway station in the Vale of Glamorgan, Wales.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80768b208190a5f6c9e6cb6e7f30 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7c747b48190b1979b4eaf281df5 |
completed | April 2, 2026, 3:51 a.m. |
Created at: March 30, 2026, 6 p.m.