Triple
T26893551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assam tea |
E677840
|
entity |
| Predicate | tasteDescriptor |
P100082
|
FINISHED |
| Object | malty sweetness |
—
|
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: malty sweetness | Statement: [Assam tea, tasteDescriptor, malty sweetness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tasteDescriptor Context triple: [Assam tea, tasteDescriptor, malty sweetness]
-
A.
hasTasteIntensity
Indicates the degree or strength of taste associated with something.
-
B.
leafTaste
chosen
Indicates that one entity has a particular taste or flavor associated with its leaves.
-
C.
tasteComparedTo
Indicates a comparison of the taste or flavor of one entity relative to another.
-
D.
mouthfeel
Indicates the sensory qualities and physical sensations a substance produces in the mouth when consumed.
-
E.
tasteInfluence
Indicates how one entity’s characteristics, actions, or presence affect or shape another entity’s preferences, likes, or aesthetic tastes.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f621cbc48881908d104c648c91c715 |
completed | May 2, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_69f620e0b37481909a280574decbd443 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 5:46 a.m.