Triple
T17606131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kia Carnival |
E428835
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Toyota Sienna |
—
|
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: Toyota Sienna | Statement: [Kia Carnival, competitor, Toyota Sienna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyota Sienna Context triple: [Kia Carnival, competitor, Toyota Sienna]
-
A.
Toyota Sienna
chosen
The Toyota Sienna is a popular family-oriented minivan known for its spacious interior, reliability, and available all-wheel drive.
-
B.
Toyota Venza
The Toyota Venza is a mid-size crossover SUV known for its car-like ride, spacious interior, and focus on comfort and practicality.
-
C.
Nissan Quest
The Nissan Quest is a minivan produced by Nissan, known for its family-oriented design, spacious interior, and multiple generations sold primarily in the North American market.
-
D.
Toyota Previa
The Toyota Previa is a mid-size multi-purpose vehicle (minivan) produced by Toyota, known for its distinctive egg-shaped design and innovative mid-engine layout in the 1990s.
-
E.
Toyota Avalon
The Toyota Avalon is a full-size, comfort-oriented sedan known for its smooth ride, spacious interior, and strong reputation for reliability in the North American 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4c06a88190a0be2dec3d6056c4 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.