Triple
T3691645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram 1500 |
E78356
|
entity |
| Predicate | introducedGeneration |
P8259
|
FINISHED |
| Object | fifth generation introduced for 2019 model year |
—
|
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: fifth generation introduced for 2019 model year | Statement: [Ram 1500, introducedGeneration, fifth generation introduced for 2019 model year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedGeneration Context triple: [Ram 1500, introducedGeneration, fifth generation introduced for 2019 model year]
-
A.
introducedDuring
chosen
Indicates that one entity was first brought into existence, use, or awareness within the time period, event, or context specified by the other entity.
-
B.
importedGeneration
Indicates that electrical energy was generated outside the local system or region and brought in for use through imports.
-
C.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
D.
introducedFor
Indicates that one entity was presented or brought to the attention of another entity for a specific purpose or role.
-
E.
introducedAfter
Indicates that one entity was introduced at a later time or stage than 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e783a88190b2837a68b8723a25 |
completed | March 8, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.