Triple
T4370483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram 2500 |
E98882
|
entity |
| Predicate | offersEngineType |
P17976
|
FINISHED |
| Object | gasoline engine |
—
|
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: gasoline engine | Statement: [Ram 2500, offersEngineType, gasoline engine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersEngineType Context triple: [Ram 2500, offersEngineType, gasoline engine]
-
A.
offersServiceType
Indicates that one entity provides or makes available a specific type or category of service to another entity or the public.
-
B.
offersPanelType
Indicates that an entity provides or makes available a specific type of panel as part of its offerings.
-
C.
offersPlanType
Indicates that one entity provides or makes available a specific type of plan to another entity or in a given context.
-
D.
offeredEngineType
chosen
Indicates that a particular type of engine is made available or provided as an option in a given context.
-
E.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3521cb7ec8190b7b79675871d97d8 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:17 p.m.