Triple
T18642010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hero World Challenge |
E455711
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Hero MotoCorp |
—
|
NE NERFINISHED |
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: Hero MotoCorp | Statement: [Hero World Challenge, sponsor, Hero MotoCorp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hero MotoCorp Context triple: [Hero World Challenge, sponsor, Hero MotoCorp]
-
A.
Hero MotoCorp
chosen
Hero MotoCorp is a leading Indian multinational motorcycle and scooter manufacturer, recognized as one of the world’s largest two-wheeler producers.
-
B.
Indus Motor Company Limited
Indus Motor Company Limited is a major Pakistani automobile manufacturer and assembler best known for producing Toyota vehicles for the local market.
-
C.
Zero Motorcycles
Zero Motorcycles is an American manufacturer specializing in high-performance electric motorcycles for both street and off-road use.
-
D.
Honda Motorcycle
Honda Motorcycle is the motorcycle manufacturing division of Honda, known worldwide for producing a wide range of reliable and popular motorbikes.
-
E.
Aprilia
Aprilia is a town and municipality in the Lazio region of central Italy, known for its agricultural production and proximity to Rome.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fcd6da081908030b052727f2c2f |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:47 a.m.