Triple
T21255574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kia Forte |
E523858
|
entity |
| Predicate | segmentCompetitor |
P1375
|
FINISHED |
| Object | Nissan Sentra |
—
|
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: Nissan Sentra | Statement: [Kia Forte, segmentCompetitor, Nissan Sentra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nissan Sentra Context triple: [Kia Forte, segmentCompetitor, Nissan Sentra]
-
A.
Nissan Sentra
chosen
The Nissan Sentra is a compact sedan known for its affordability, fuel efficiency, and practicality as a popular everyday commuter car.
-
B.
Nissan Altima
The Nissan Altima is a popular mid-size sedan known for its balance of comfort, fuel efficiency, and everyday practicality.
-
C.
Nissan Versa
The Nissan Versa is a subcompact economy car known for its affordability, spacious interior, and fuel efficiency.
-
D.
Nissan Stanza
The Nissan Stanza is a compact/midsize family sedan and hatchback produced by Nissan primarily during the 1980s and early 1990s, known as a practical, economical predecessor to later models like the Altima.
-
E.
Nissan Maxima
The Nissan Maxima is a mid-size to full-size sedan known for combining sporty performance with upscale features in Nissan’s lineup.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735a0e7dc8190b591b5b6786ce619 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:58 p.m.