Triple
T17349631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Seat rear seating system |
E421773
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Honda HR-V |
—
|
NE ONNED1 |
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 HR-V | Statement: [Magic Seat rear seating system, usedIn, Honda HR-V]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honda HR-V Context triple: [Magic Seat rear seating system, usedIn, Honda HR-V]
-
A.
Honda HR-V
chosen
The Honda HR-V is a subcompact crossover SUV known for its versatile interior, efficient performance, and practicality for urban and family use.
-
B.
Honda CR-V
The Honda CR-V is a popular compact crossover SUV known for its reliability, practicality, and family-friendly design.
-
C.
Honda ZR-V
The Honda ZR-V is a compact crossover SUV positioned between the HR-V and CR-V, offering a more premium, dynamically styled alternative in Honda’s global lineup.
-
D.
Toyota C-HR
The Toyota C-HR is a subcompact crossover SUV known for its distinctive coupe-like styling, efficient powertrains, and urban-focused design.
-
E.
Honda Civic
The Honda Civic is a popular compact car known for its reliability, fuel efficiency, and long-standing presence in Honda’s global lineup.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2bd0a881909e71c89773d9273c |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01955658b88190bce3fb2b5738afc6 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.