Triple
T8271654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | medronho brandy |
E193441
|
entity |
| Predicate | ageing |
P53135
|
FINISHED |
| Object | usually unaged |
—
|
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: usually unaged | Statement: [medronho brandy, ageing, usually unaged]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageing Context triple: [medronho brandy, ageing, usually unaged]
-
A.
oxidativeAging
Indicates a process where a substance or material undergoes deterioration or change over time due to reactions with oxygen or oxidative agents.
-
B.
typicalAgingTime
chosen
Indicates the usual duration required for something to age or mature under normal conditions.
-
C.
lifespan
Indicates the duration of time between an entity’s birth (or creation) and its death (or end).
-
D.
ageProgression
Indicates a temporal relationship where an entity’s age increases or advances over time.
-
E.
ageModel
Indicates a relationship where one entity specifies or provides the age of another entity, typically in terms of a particular age value or age-related classification.
- 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7986f8cc8190a529dda980dd6e98 |
completed | March 31, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69cb70a4525481909399d313a6247ace |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:50 p.m.