Triple
T13526150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Corolla Cross |
E323020
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Toyota C-HR |
E435073
|
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: Toyota C-HR | Statement: [Toyota Corolla Cross, relatedTo, Toyota C-HR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyota C-HR Context triple: [Toyota Corolla Cross, relatedTo, Toyota C-HR]
-
A.
Toyota C-HR
chosen
The Toyota C-HR is a subcompact crossover SUV known for its distinctive coupe-like styling, efficient powertrains, and urban-focused design.
-
B.
Toyota Yaris Cross
The Toyota Yaris Cross is a subcompact crossover SUV that combines the Yaris hatchback’s platform and efficiency with higher ride height, SUV styling, and available hybrid powertrains.
-
C.
Honda HR-V
The Honda HR-V is a subcompact crossover SUV known for its versatile interior, efficient performance, and practicality for urban and family use.
-
D.
Toyota Yaris
The Toyota Yaris is a popular subcompact car known for its reliability, fuel efficiency, and strong reputation in global small-car markets.
-
E.
Baleno
Baleno is a coastal municipality in the province of Masbate in the Philippines, known for its rural communities and fishing-based local economy.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa6ad60819087824e4ac83934ed |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78adaf62c8190855df932eb9830be |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:44 p.m.