Triple
T268707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cravings: Recipes for All the Food You Want to Eat |
E5576
|
entity |
| Predicate | containsSectionType |
P2563
|
FINISHED |
| Object | breakfast recipes |
—
|
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 recipes | Statement: [Cravings: Recipes for All the Food You Want to Eat, containsSectionType, breakfast recipes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSectionType Context triple: [Cravings: Recipes for All the Food You Want to Eat, containsSectionType, breakfast recipes]
-
A.
hasSegmentType
chosen
Indicates that an entity is associated with, or classified by, a particular type or category of segment within a larger structure or sequence.
-
B.
hasSectionCount
Indicates that an entity is associated with a specific number of sections it contains or comprises.
-
C.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
D.
hasStageType
Indicates that an entity is associated with, or classified by, a specific type or category of stage within a process, lifecycle, or workflow.
-
E.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dae4a0c8190a66cf6ed3889851c |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b70d99c819085d8381a313a2a34 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.