Triple
T18387845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tarte flambée |
E446638
|
entity |
| Predicate | doughCharacteristic |
P130937
|
FINISHED |
| Object | ultra-thin |
—
|
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: ultra-thin | Statement: [tarte flambée, doughCharacteristic, ultra-thin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doughCharacteristic Context triple: [tarte flambée, doughCharacteristic, ultra-thin]
-
A.
doughType
Indicates the specific kind or category of dough used or associated with an item or preparation.
-
B.
breadType
Indicates the specific kind or category of bread associated with an entity.
-
C.
pastryType
Indicates the specific kind or category of pastry that an item belongs to.
-
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.
batter
Indicates that one entity physically strikes or beats another entity, typically with repeated or forceful blows.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e517a114c08190af1be1ae52c83b63 |
completed | April 19, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a1bda48190a9cd1db436d4be62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:46 a.m.