Triple
T1377290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodge |
E29253
|
entity |
| Predicate | formerProduct |
P25918
|
FINISHED |
| Object | Dodge Ram |
E29253
|
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: Dodge Ram | Statement: [Dodge, formerProduct, Dodge Ram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dodge Ram Context triple: [Dodge, formerProduct, Dodge Ram]
-
A.
Dodge Durango
The Dodge Durango is a mid-size SUV known for its muscular styling, available V8 power, and strong towing capability.
-
B.
Nissan Titan
The Nissan Titan is a full-size pickup truck produced by Nissan, designed primarily for the North American market and known for its powerful V8 engines and work-focused capability.
-
C.
Dodge
chosen
Dodge is an American automotive brand best known for its performance-oriented cars, muscle vehicles, and trucks.
-
D.
Jeep Gladiator
The Jeep Gladiator is a midsize pickup truck that combines Jeep’s off-road capability and open-air design with a functional cargo bed.
-
E.
GMC Sierra
The GMC Sierra is a full-size pickup truck known for its powerful performance, upscale features, and role as one of General Motors’ flagship trucks.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde1c7e5c8190a6b999f2d5dce088 |
completed | March 8, 2026, 2:25 a.m. |
Created at: March 1, 2026, 7:59 p.m.