Triple
T15998044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bordeaux (See's Candies confection) |
E388022
|
entity |
| Predicate | textureOfTopping |
P121223
|
FINISHED |
| Object | crunchy sprinkles |
—
|
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: crunchy sprinkles | Statement: [Bordeaux (See's Candies confection), textureOfTopping, crunchy sprinkles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textureOfTopping Context triple: [Bordeaux (See's Candies confection), textureOfTopping, crunchy sprinkles]
-
A.
isToppedWith
Indicates that one entity serves as a topping placed on the surface of another entity.
-
B.
hasCrustType
Indicates that an entity (such as a pizza or pie) is associated with a specific type or style of crust.
-
C.
isTypicallyGarnishedWith
Indicates that one item is commonly used as a garnish or decorative finishing element for another.
-
D.
hasCrust
Indicates that one entity possesses or is characterized by an outer crust layer.
-
E.
signatureToppingStyle
Indicates the distinctive or characteristic way toppings are arranged or combined for a particular item.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4e871c819082d7b1c1eaf5b4fe |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e17d48cc9c8190b03fd07ae2e9dfd8 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 10, 2026, 4:55 a.m.