Triple
T16338146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pizza Marinara |
E396727
|
entity |
| Predicate | bakingTime |
P50957
|
FINISHED |
| Object | short baking 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 baking time | Statement: [Pizza Marinara, bakingTime, short baking time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bakingTime Context triple: [Pizza Marinara, bakingTime, short baking time]
-
A.
typicalCookingTime
chosen
Indicates the usual duration required to cook something under standard or commonly accepted conditions.
-
B.
brewingTime
Indicates the duration required to brew or prepare a beverage or similar concoction.
-
C.
dryTime
Indicates the amount of time required for something to become dry or reach a specified level of dryness.
-
D.
BakerYield
Indicates the amount or output produced by a baker, typically in terms of quantity or volume of baked goods resulting from a given process or batch.
-
E.
isBaked
Indicates that an entity has undergone a baking process, typically by being cooked with dry heat in an oven or similar 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e6338081908aa03ee3dcbe5f70 |
completed | April 17, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.