Triple
T27636587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MatSnackBar |
E696486
|
entity |
| Predicate | designGuidelineSource |
P81177
|
FINISHED |
| Object | Google Material Design |
—
|
NE NERFINISHED |
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: Google Material Design | Statement: [MatSnackBar, designGuidelineSource, Google Material Design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designGuidelineSource Context triple: [MatSnackBar, designGuidelineSource, Google Material Design]
-
A.
designCriteria
Indicates the standards, requirements, or constraints that guide how something should be planned, structured, or created.
-
B.
hasGuideline
chosen
Indicates that one entity is governed, informed, or constrained by a rule, standard, or recommended procedure provided by another entity.
-
C.
designStandardizedIn
Indicates that something is designed according to the rules, formats, or specifications defined within a particular standard or standardization framework.
-
D.
guidelineNumber
Indicates the specific numeric identifier assigned to a guideline within a set of rules, standards, or recommendations.
-
E.
notableGuideline
Indicates that something is recognized as an important or especially significant rule, principle, or recommended practice.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 27, 2026, 2:24 p.m.