Triple
T16026386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan Car of the Year |
E388727
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object | Honda Fit |
E94606
|
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 Fit | Statement: [Japan Car of the Year, notableWinner, Honda Fit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honda Fit Context triple: [Japan Car of the Year, notableWinner, Honda Fit]
-
A.
Honda Fit
chosen
The Honda Fit is a subcompact hatchback known for its exceptional interior space, fuel efficiency, and versatile “Magic Seat” rear seating system.
-
B.
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.
-
C.
Honda Pilot
The Honda Pilot is a midsize three-row crossover SUV known for its family-friendly interior, reliability, and comfortable ride.
-
D.
Baleno
Baleno is a coastal municipality in the province of Masbate in the Philippines, known for its rural communities and fishing-based local economy.
-
E.
Honda Accord
The Honda Accord is a popular mid-size car known for its reliability, fuel efficiency, and long-standing presence in the global automotive market.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18328707c8190b9a444c78faaaa04 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbcfd39c81909bfddfe95f9ad7d2 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:56 a.m.