Triple
T10650895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan New Car Assessment Program |
E250964
|
entity |
| Predicate | resultFormat |
P10522
|
FINISHED |
| Object | star rating |
—
|
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: star rating | Statement: [Japan New Car Assessment Program, resultFormat, star rating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultFormat Context triple: [Japan New Car Assessment Program, resultFormat, star rating]
-
A.
formalResult
Indicates that one entity is the officially recognized or documented outcome, conclusion, or product resulting from another entity.
-
B.
resultType
Indicates the type or category of outcome that is produced by a given process, action, or operation.
-
C.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
resultsReportedAs
chosen
Indicates that the outcomes or findings of an activity, process, or evaluation are communicated or documented in a specified form, format, or medium.
-
E.
resultUsage
Indicates how the outcome or result of an action, process, or event is used, applied, or consumed in relation to another entity or context.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dff6ba688190b493689d60f616e0 |
completed | April 8, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:06 p.m.