Triple
T19691902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swanson Frozen Dinners |
E472853
|
entity |
| Predicate | timeToPrepare |
P50957
|
FINISHED |
| Object | short cooking time |
—
|
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: short cooking time | Statement: [Swanson Frozen Dinners, timeToPrepare, short cooking time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeToPrepare Context triple: [Swanson Frozen Dinners, timeToPrepare, short cooking time]
-
A.
preparationPeriod
Indicates the time span allocated before an event or action during which necessary preparations are made.
-
B.
timeToComplete
Indicates the duration required for an entity or process to be fully completed.
-
C.
typicalCookingTime
chosen
Indicates the usual duration required to cook something under standard or commonly accepted conditions.
-
D.
preparationBegan
Indicates that the initial actions or processes required for something to be carried out or occur have started.
-
E.
preparationBy
Indicates that one entity is created, assembled, or made ready through the actions or processes performed by 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64210cddc8190836faa2996a44457 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.