Triple
T29502797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A.1. Steak Sauce |
E748418
|
entity |
| Predicate | tasteNotes |
P149764
|
FINISHED |
| Object | savory |
—
|
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: savory | Statement: [A.1. Steak Sauce, tasteNotes, savory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tasteNotes Context triple: [A.1. Steak Sauce, tasteNotes, savory]
-
A.
notableFlavorNotes
chosen
Indicates that something is characterized by specific, distinguishable flavor notes that are especially prominent or noteworthy.
-
B.
leafTaste
Indicates that one entity has a particular taste or flavor associated with its leaves.
-
C.
wineCharacteristic
Indicates a descriptive property or quality attributed to a wine, such as its flavor, aroma, color, or style.
-
D.
coffeeFlavorNotes
Indicates the characteristic taste and aroma qualities associated with a particular coffee, such as specific flavor notes perceived when it is consumed.
-
E.
hasTasteIntensity
Indicates the degree or strength of taste associated with something.
- 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_69f0bd455a9c8190b40a3e8ea38cf61f |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c33d4bc81908ab72b03c1d747c6 |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 4:25 p.m.