Triple
T4232267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honda Fit |
E94606
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Honda Jazz |
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 Jazz | Statement: [Honda Fit, alsoKnownAs, Honda Jazz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honda Jazz Context triple: [Honda Fit, alsoKnownAs, Honda Jazz]
-
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 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.
Mazda2
The Mazda2 is a subcompact car known for its agile handling, fuel efficiency, and stylish design, positioned as an affordable entry-level model in Mazda’s lineup.
-
E.
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.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e642aac8190977dd101e27afcbb |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a85fdbe08190bcdc18a4bc456b59 |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 12, 2026, 11:05 p.m.