Triple
T4830159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V8 |
E107924
|
entity |
| Predicate | isOftenConsumedAs |
P46445
|
FINISHED |
| Object | breakfast beverage |
—
|
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: breakfast beverage | Statement: [V8, isOftenConsumedAs, breakfast beverage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenConsumedAs Context triple: [V8, isOftenConsumedAs, breakfast beverage]
-
A.
consumes
Indicates that one entity eats, drinks, or otherwise uses up another entity as a resource or nourishment.
-
B.
isEatenIn
Indicates that one entity (typically food) is consumed within the context, location, or occasion specified by another entity.
-
C.
isConsumedIn
Indicates that one entity is used up, ingested, or otherwise expended as part of a process, event, or action involving another entity.
-
D.
eatenAs
chosen
Indicates that one entity is consumed or used as food by another entity.
-
E.
isFamouslyUsedIn
Indicates that something is widely recognized or well-known for being used in a particular context, work, or situation.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1fe130819087ae01309f96a0c8 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.