Triple
T7855972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Standards for Grades of Dairy Products |
E182375
|
entity |
| Predicate | includesCriteriaFor |
P36515
|
FINISHED |
| Object | flavor |
—
|
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: flavor | Statement: [United States Standards for Grades of Dairy Products, includesCriteriaFor, flavor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCriteriaFor Context triple: [United States Standards for Grades of Dairy Products, includesCriteriaFor, flavor]
-
A.
evaluationCriteriaInclude
chosen
Indicates that certain criteria are part of, or explicitly included in, the set of standards used to evaluate something.
-
B.
includesClause
Indicates that one entity (typically a document, contract, or statement) contains or incorporates a specific clause as part of its content.
-
C.
compositionCriterion
Indicates the rule or standard by which components are selected, combined, or arranged to form a whole.
-
D.
includesMatch
Indicates that one entity contains or encompasses a particular match or matching instance of another entity.
-
E.
includedBy
Indicates that one entity is contained within, encompassed by, or treated as a subset or member of another entity.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a74592c8190b42f298e3e33617b |
completed | March 31, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:52 p.m.