Triple
T7935605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TÜV Rheinland Eye Comfort certification (on selected models) |
E184281
|
entity |
| Predicate | includesCriterion |
P36515
|
FINISHED |
| Object | blue light limitation |
—
|
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: blue light limitation | Statement: [TÜV Rheinland Eye Comfort certification (on selected models), includesCriterion, blue light limitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCriterion Context triple: [TÜV Rheinland Eye Comfort certification (on selected models), includesCriterion, blue light limitation]
-
A.
evaluationCriteriaInclude
chosen
Indicates that certain criteria are part of, or explicitly included in, the set of standards used to evaluate something.
-
B.
compositionCriterion
Indicates the rule or standard by which components are selected, combined, or arranged to form a whole.
-
C.
hasQualityCriterion
Indicates that something is associated with a specific standard or criterion used to judge its quality.
-
D.
includesClause
Indicates that one entity (typically a document, contract, or statement) contains or incorporates a specific clause as part of its content.
-
E.
hasSubcriterion
Indicates that a criterion includes another, more specific criterion as a subordinate part of its evaluation structure.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aec394081909a9569c02ac372af |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:08 p.m.