Triple
T14565811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quiche Lorraine |
E341781
|
entity |
| Predicate | traditionalCrust |
P12944
|
FINISHED |
| Object | buttery pastry crust |
—
|
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: buttery pastry crust | Statement: [Quiche Lorraine, traditionalCrust, buttery pastry crust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalCrust Context triple: [Quiche Lorraine, traditionalCrust, buttery pastry crust]
-
A.
hasCrust
Indicates that one entity possesses or is characterized by an outer crust layer.
-
B.
hasCrustType
Indicates that an entity (such as a pizza or pie) is associated with a specific type or style of crust.
-
C.
doughType
Indicates the specific kind or category of dough used or associated with an item or preparation.
-
D.
traditionalBase
Indicates that one entity serves as the customary or historically established foundation or basis for another.
-
E.
crustType
chosen
Indicates the specific style or form of crust associated with an item, such as a pizza or baked good.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38c6350819091090ffd15772f6f |
completed | April 14, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.