Triple
T16332180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazda CX-9 |
E396580
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Toyota Highlander |
E54565
|
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: Toyota Highlander | Statement: [Mazda CX-9, competitor, Toyota Highlander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyota Highlander Context triple: [Mazda CX-9, competitor, Toyota Highlander]
-
A.
Toyota Highlander
chosen
The Toyota Highlander is a popular midsize crossover SUV known for its reliability, family-friendly practicality, and available three-row seating.
-
B.
Toyota Sequoia
The Toyota Sequoia is a full-size SUV produced by Toyota, known for its spacious three-row interior, strong towing capability, and truck-based durability.
-
C.
Lexus GX
The Lexus GX is a mid-size luxury SUV known for its body-on-frame construction, off-road capability, and upscale interior.
-
D.
Toyota RAV4
The Toyota RAV4 is a popular compact crossover SUV known for its reliability, practicality, and strong sales worldwide.
-
E.
Isuzu Hi-Lander
The Isuzu Hi-Lander is a variant of Isuzu’s Panther multi-purpose vehicle, popular in Southeast Asian markets for its durability and utility as a family and commercial transporter.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e0b1388190824b286e8452fb32 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002613c0e88190b91da8eba683c864 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.