Triple
T5457085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaiser Jeep |
E122504
|
entity |
| Predicate | assetOutcome |
P34100
|
FINISHED |
| Object | assets contributed to formation of AM General |
—
|
LITERAL 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: assets contributed to formation of AM General | Statement: [Kaiser Jeep, assetOutcome, assets contributed to formation of AM General]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assetOutcome Context triple: [Kaiser Jeep, assetOutcome, assets contributed to formation of AM General]
-
A.
assetDisposition
chosen
Indicates the manner or outcome by which an asset is transferred, retired, sold, or otherwise removed from ownership or active use.
-
B.
assetType
Indicates the specific category or classification of an asset within a broader asset framework or system.
-
C.
commissionOutcome
Indicates the result or consequence produced by a commission, such as whether it was successful, failed, or led to a particular decision or action.
-
D.
notableAsset
Indicates that an entity possesses or is associated with an asset that is particularly significant, prominent, or noteworthy in relation to it.
-
E.
tradedAsset
Indicates that an entity is the asset or instrument being exchanged in a trade transaction between parties.
- F. None of above.
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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a0d96c8190bd1299edbf764bbb |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.