Triple
T15316292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Maria Valley |
E366166
|
entity |
| Predicate | barbecueFeatures |
P55802
|
FINISHED |
| Object | grilled tri-tip beef |
—
|
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: grilled tri-tip beef | Statement: [Santa Maria Valley, barbecueFeatures, grilled tri-tip beef]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: barbecueFeatures Context triple: [Santa Maria Valley, barbecueFeatures, grilled tri-tip beef]
-
A.
cuisineFeature
Indicates a characteristic, quality, or notable aspect that describes or distinguishes a particular cuisine.
-
B.
hasSmokehouse
Indicates that one entity possesses, contains, or includes a smokehouse as part of its facilities or properties.
-
C.
grillFuel
Indicates that a specified fuel source is used to power or operate a grill.
-
D.
hasDiningFeature
chosen
Indicates that something possesses a specific characteristic, amenity, or attribute related to dining.
-
E.
cabinFeatures
Indicates that a cabin possesses or includes specific features, amenities, or characteristics.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd1d384819098f38402a8740d91 |
completed | April 16, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.