Triple
T25767415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top Safety Pick |
E648921
|
entity |
| Predicate | includesEvaluation |
P118540
|
FINISHED |
| Object | front crash prevention systems |
—
|
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: front crash prevention systems | Statement: [Top Safety Pick, includesEvaluation, front crash prevention systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesEvaluation Context triple: [Top Safety Pick, includesEvaluation, front crash prevention systems]
-
A.
supportsEvaluation
Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to be assessed, tested, or evaluated.
-
B.
evaluationCriteriaInclude
Indicates that certain criteria are part of, or explicitly included in, the set of standards used to evaluate something.
-
C.
ratingProcessIncludes
chosen
Indicates that a rating process encompasses or contains a specified component, step, or element as part of its overall procedure.
-
D.
hasEvaluationType
Indicates that an entity is associated with a specific kind or category of evaluation applied to it.
-
E.
includesMeasure
Indicates that one entity contains, incorporates, or makes use of a particular measurement or quantitative value as part of its definition or specification.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 22, 2026, 5:11 a.m.