Triple
T18064736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daewoo |
E432266
|
entity |
| Predicate | vehiclesRebadgedAs |
P129677
|
FINISHED |
| Object | Suzuki |
—
|
NE NERFINISHED |
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: Suzuki | Statement: [Daewoo, vehiclesRebadgedAs, Suzuki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzuki Context triple: [Daewoo, vehiclesRebadgedAs, Suzuki]
-
A.
Suzuki
Suzuki is a common Japanese surname borne by many notable individuals across sports, entertainment, and other fields.
-
B.
Suzuki Motor Corporation
chosen
Suzuki Motor Corporation is a Japanese multinational automaker best known for its compact cars, motorcycles, and all-terrain vehicles sold worldwide.
-
C.
Mugen-Honda
Mugen-Honda was a racing engine partnership between Mugen Motorsports and Honda that supplied competitive Formula One power units in the 1990s.
-
D.
Kawasaki
Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
-
E.
Pak Suzuki Motor Company
Pak Suzuki Motor Company is a leading Pakistani automobile manufacturer and assembler, primarily known for producing and selling affordable Suzuki-branded cars and motorcycles in the local market.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce74a0c81908375e3100c7578b8 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.