Triple
T20158972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZF 6-speed automatic |
E491652
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Kia vehicles |
—
|
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: Kia vehicles | Statement: [ZF 6-speed automatic, usedIn, Kia vehicles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kia vehicles Context triple: [ZF 6-speed automatic, usedIn, Kia vehicles]
-
A.
Kia
Kia is a small settlement located on Santa Isabel Island in the Solomon Islands, known for its remote, rural character and coastal setting.
-
B.
Kia
Kia is a feminine given name used in various cultures, often as a short form of names like Kiara or Kiana.
-
C.
KIA
KIA is the armed wing of the Kachin Independence Organization, a major ethnic insurgent group operating primarily in northern Myanmar’s Kachin State.
-
D.
Hyundai vehicles
Hyundai vehicles are the range of passenger and commercial automobiles produced by the South Korean manufacturer Hyundai Motor Company, known for their affordability, reliability, and global presence.
-
E.
Kia Motors
chosen
Kia Motors is a South Korean automobile manufacturer known for producing a wide range of affordable cars and SUVs for global markets.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e27aa88190a326288b992ea274 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.