Triple
T18598676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aloha Bowl |
E454561
|
entity |
| Predicate | sponsoredBy |
P67
|
FINISHED |
| Object | Jeep |
—
|
NE NERFINISHED |
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: [Aloha Bowl, sponsoredBy, Jeep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeep Context triple: [Aloha Bowl, sponsoredBy, 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.
Jeep CJ
The Jeep CJ is a classic line of rugged, open-bodied off-road vehicles that evolved from World War II military Jeeps and became iconic for recreational four-wheel driving.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5474f1d548190b74408eabd396344 |
completed | April 19, 2026, 9:21 p.m. |
Created at: April 10, 2026, 11:45 a.m.