Triple
T2276871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Car Assessment Program |
E50790
|
entity |
| Predicate | evaluationCriteriaInclude |
P36515
|
FINISHED |
| Object | crash test results |
—
|
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: crash test results | Statement: [New Car Assessment Program, evaluationCriteriaInclude, crash test results]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evaluationCriteriaInclude Context triple: [New Car Assessment Program, evaluationCriteriaInclude, crash test results]
-
A.
selectionCriteria
Indicates the conditions or rules used to choose certain entities from a larger set.
-
B.
reasoningIncludes
Indicates that a reasoning process or argument explicitly incorporates or makes use of the referenced element as one of its components or steps.
-
C.
includesClause
Indicates that one entity (typically a document, contract, or statement) contains or incorporates a specific clause as part of its content.
-
D.
eligibleFrom
Indicates that a subject becomes or is considered eligible starting from a specified point in time or condition.
-
E.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
- F. None of above. chosen
Provenance (4 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1ee22988190b7fa28b0b62e8668 |
completed | March 7, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69abbdb9aa3c819088d0316c5269a1c2 |
completed | March 7, 2026, 5:55 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:48 p.m.