Triple
T4087125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scotch whisky |
E87613
|
entity |
| Predicate | mustRetain |
P52923
|
FINISHED |
| Object | colour aroma and taste derived from raw materials and maturation |
—
|
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: colour aroma and taste derived from raw materials and maturation | Statement: [Scotch whisky, mustRetain, colour aroma and taste derived from raw materials and maturation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustRetain Context triple: [Scotch whisky, mustRetain, colour aroma and taste derived from raw materials and maturation]
-
A.
retained
Indicates that one entity keeps possession, control, or continued engagement of another entity over a period of time.
-
B.
mustRespect
Indicates that one entity is obligated to show respect or deference toward another entity.
-
C.
mustMeet
Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
-
D.
retentionMethod
Indicates the method or strategy used to retain or keep something (such as data, customers, or resources) over time.
-
E.
keptIn
Indicates that one entity is stored, contained, or maintained inside another entity as its location or container.
- F. None of above. chosen
Provenance (4 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7ceeb48190807f0f5078ccfa12 |
completed | March 9, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef9b34dec81909bbc3def9decc71a |
completed | March 9, 2026, 4:47 p.m. |
Created at: March 9, 2026, 3:39 p.m.