Triple
T16180362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honda Global Light Truck platform |
E392667
|
entity |
| Predicate | usedByModel |
P38600
|
FINISHED |
| Object | Honda Ridgeline |
E91037
|
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: Honda Ridgeline | Statement: [Honda Global Light Truck platform, usedByModel, Honda Ridgeline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honda Ridgeline Context triple: [Honda Global Light Truck platform, usedByModel, Honda Ridgeline]
-
A.
Honda Ridgeline
chosen
The Honda Ridgeline is a unibody midsize pickup truck known for its car-like ride, innovative in-bed trunk, and strong reliability.
-
B.
Toyota Tundra
The Toyota Tundra is a full-size pickup truck known for its durability, strong towing capability, and Toyota’s reputation for reliability.
-
C.
Toyota Tacoma
The Toyota Tacoma is a popular midsize pickup truck known for its durability, off-road capability, and strong resale value.
-
D.
GMC Canyon
The GMC Canyon is a midsize pickup truck known for its blend of capability, comfort, and upscale features within General Motors’ truck lineup.
-
E.
Isuzu Rodeo
The Isuzu Rodeo is a mid-size sport utility vehicle produced by Japanese automaker Isuzu, popular in the 1990s and early 2000s for its rugged, truck-based design.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205c92b48190b7125dbbcff3662e |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0022148190bc1810e76cf6d994 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.