Triple
T16520798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pecorino Romano |
E401311
|
entity |
| Predicate | commonlyGratedOver |
P56695
|
FINISHED |
| Object | cacio e pepe |
—
|
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: cacio e pepe | Statement: [Pecorino Romano, commonlyGratedOver, cacio e pepe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonlyGratedOver Context triple: [Pecorino Romano, commonlyGratedOver, cacio e pepe]
-
A.
grindType
Indicates the specific way or degree to which something is ground or milled, such as the fineness or style of grinding applied.
-
B.
eatenWithRind
Indicates that something is eaten together with its rind still on.
-
C.
isTypicallyGarnishedWith
chosen
Indicates that one item is commonly used as a garnish or decorative finishing element for another.
-
D.
largelyConsumedBeneath
Indicates that one entity is mostly consumed, used up, or eaten while located underneath or below another entity.
-
E.
isUsuallyCookedIn
Indicates that something is most commonly or typically prepared or cooked within a particular container, appliance, or environment.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7f8a1481909fe6b3c16a72059b |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.