Triple
T6810524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeep Compass |
E156619
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Jeep |
E28729
|
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 | Statement: [Jeep Compass, manufacturer, Jeep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeep Context triple: [Jeep Compass, manufacturer, Jeep]
-
A.
Jeep
chosen
Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
-
B.
Jeep Wrangler
The Jeep Wrangler is an iconic American off-road SUV known for its rugged capability, removable doors and roof, and strong association with adventure driving.
-
C.
Kaiser Jeep
Kaiser Jeep was an American automobile manufacturer best known for producing civilian and military Jeep vehicles before its assets led to the formation of AM General.
-
D.
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.
-
E.
Dodge
Dodge is an American automotive brand best known for its performance-oriented cars, muscle vehicles, and 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d30ded6481908fd64611607c610e |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71aa7dc3c81909ef422b5c51ae6be |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:16 p.m.