Triple
T16777884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzuki Baleno |
E407774
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Hyundai i20 |
E1201351
|
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: Hyundai i20 | Statement: [Suzuki Baleno, competitor, Hyundai i20]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyundai i20 Context triple: [Suzuki Baleno, competitor, Hyundai i20]
-
A.
Hyundai i20
chosen
The Hyundai i20 is a subcompact hatchback produced by Hyundai, known for its practicality, modern features, and strong value in global small-car markets.
-
B.
Hyundai i10
The Hyundai i10 is a compact city car produced by the South Korean manufacturer Hyundai, known for its practicality, affordability, and efficiency in urban driving.
-
C.
Hyundai HB20
The Hyundai HB20 is a popular subcompact hatchback (and sedan) developed for the Brazilian market, known for its modern design, efficient engines, and strong value proposition in the entry-level segment.
-
D.
Celerio
Celerio is a compact hatchback car produced by Maruti Suzuki, known for its fuel efficiency and suitability for urban driving.
-
E.
Hyundai Creta
The Hyundai Creta is a popular compact SUV known for its modern design, feature-rich cabin, and strong sales in markets like India and other emerging economies.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b212fc248190a8fe1124853bf16d |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb0911488190a65c1dc536b6ea3e |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:22 a.m.