Triple
T4439728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honda HR-V |
E95739
|
entity |
| Predicate | relatedModel |
P37
|
FINISHED |
| Object | Honda Vezel |
E439975
|
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: Honda Vezel | Statement: [Honda HR-V, relatedModel, Honda Vezel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honda Vezel Context triple: [Honda HR-V, relatedModel, Honda Vezel]
-
A.
Honda Vezel
chosen
The Honda Vezel is a subcompact crossover SUV produced by Honda, known for its versatile interior, fuel-efficient powertrains, and urban-friendly design.
-
B.
Suzuki Baleno
The Suzuki Baleno is a compact car produced by Suzuki, known for its practicality, fuel efficiency, and popularity in emerging markets.
-
C.
Suzuki Vitara
The Suzuki Vitara is a compact crossover SUV known for its practicality, affordability, and light off-road capability, produced by the Japanese automaker Suzuki.
-
D.
Suzuki Swift
The Suzuki Swift is a popular subcompact hatchback car known for its nimble handling, fuel efficiency, and value-oriented pricing in global markets.
-
E.
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.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aaa9288190b95d875d343d6ee5 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6281264f08190942d2043495c89d5 |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:31 p.m.