Triple
T16727437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maruti Suzuki |
E406498
|
entity |
| Predicate | marketShareRegion |
P12320
|
FINISHED |
| Object | dominant share of Indian passenger vehicle market |
—
|
LITERAL 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: dominant share of Indian passenger vehicle market | Statement: [Maruti Suzuki, marketShareRegion, dominant share of Indian passenger vehicle market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketShareRegion Context triple: [Maruti Suzuki, marketShareRegion, dominant share of Indian passenger vehicle market]
-
A.
marketShareUS
Indicates the proportion of a product, company, or brand’s total sales or volume within the United States market relative to the overall U.S. market size.
-
B.
marketRegion
chosen
Indicates the geographic or demographic area in which a product, service, or entity is actively marketed or targeted.
-
C.
peakMarketShare
Indicates the highest proportion of total market sales or customers that an entity has achieved over a specified period.
-
D.
hasGlobalMarketShare
Indicates that an entity possesses a specified proportion of sales or presence in the worldwide market relative to all competitors.
-
E.
marketSize
Indicates the total volume or value of demand for a product, service, or market segment within a defined scope (such as a time period or geographic region).
- F. None of above.
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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38748f538819097de1fdee9b42f34 |
completed | April 18, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.