Triple
T3582882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Rutherford dust" character in its red wines |
E75841
|
entity |
| Predicate | hasFlavorNote |
P2068
|
FINISHED |
| Object | cocoa-like tannins |
—
|
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: cocoa-like tannins | Statement: ["Rutherford dust" character in its red wines, hasFlavorNote, cocoa-like tannins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlavorNote Context triple: ["Rutherford dust" character in its red wines, hasFlavorNote, cocoa-like tannins]
-
A.
allowsTastingOf
Indicates that one entity permits another entity to sample or try the taste of something.
-
B.
wineCharacteristic
Indicates a descriptive property or quality attributed to a wine, such as its flavor, aroma, color, or style.
-
C.
typicalFlavor
chosen
Indicates that something characteristically has or is associated with a particular flavor.
-
D.
hasSpice
Indicates that one entity contains, includes, or is characterized by a particular spice or set of spices.
-
E.
hasBitternessLevel
Indicates that an entity is associated with a specific degree or intensity of bitterness.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc104846c81908b6fbde7061464b4 |
completed | March 8, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.