Triple
T36168898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldsmobile dealership |
E1046092
|
entity |
| Predicate | soldProductLine |
P121874
|
FINISHED |
| Object | Oldsmobile sedans |
—
|
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: Oldsmobile sedans | Statement: [Oldsmobile dealership, soldProductLine, Oldsmobile sedans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soldProductLine Context triple: [Oldsmobile dealership, soldProductLine, Oldsmobile sedans]
-
A.
soldProductType
chosen
Indicates that an entity has sold a product belonging to a specified product type.
-
B.
soldProducts
Indicates that an entity has sold certain products to another entity or in a particular context.
-
C.
soldOnline
Indicates that an item or service was sold through an online platform or over the internet.
-
D.
soldWith
Indicates that one item is sold together with another item as part of the same transaction or offer.
-
E.
soldTechnologyTo
Indicates that one entity transferred ownership or rights to a technology to another entity in exchange for compensation.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.