Triple
T3975736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMC Canyon |
E85636
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Jeep Gladiator |
E156620
|
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: Jeep Gladiator | Statement: [GMC Canyon, competesWith, Jeep Gladiator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeep Gladiator Context triple: [GMC Canyon, competesWith, Jeep Gladiator]
-
A.
Jeep Gladiator
chosen
The Jeep Gladiator is a midsize pickup truck that combines Jeep’s off-road capability and open-air design with a functional cargo bed.
-
B.
Dodge Durango
The Dodge Durango is a mid-size SUV known for its muscular styling, available V8 power, and strong towing capability.
-
C.
Jeep Grand Cherokee
The Jeep Grand Cherokee is a mid-size SUV known for combining upscale comfort with strong off-road capability and towing performance.
-
D.
Dodge Ram 1500
The Dodge Ram 1500 is a full-size light-duty pickup truck known for its powerful V8 engine options, rugged capability, and role as one of the best-selling trucks in North America.
-
E.
Jeep
Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9b6d8008190822fceabe6542b3d |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5401712188190aa6144dc1d5dcab6 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:33 p.m.