Triple
T14502477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedro Ximénez sweet sherry |
E340175
|
entity |
| Predicate | typicalAgingIndication |
P114482
|
FINISHED |
| Object | VOS (Very Old Sherry) for older examples |
—
|
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: VOS (Very Old Sherry) for older examples | Statement: [Pedro Ximénez sweet sherry, typicalAgingIndication, VOS (Very Old Sherry) for older examples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAgingIndication Context triple: [Pedro Ximénez sweet sherry, typicalAgingIndication, VOS (Very Old Sherry) for older examples]
-
A.
typicalAgingTime
Indicates the usual duration required for something to age or mature under normal conditions.
-
B.
typicalAgingPotentialRange
Indicates the usual range of time over which something is expected to age or mature under normal conditions.
-
C.
mayBeAgedIn
Indicates that an entity has the potential or option to undergo an aging or maturation process in a specified medium, container, or environment.
-
D.
turnedSenior
Indicates that an entity has transitioned into senior status or a senior role relative to a previous state or position.
-
E.
ageBased
Indicates a relationship or condition that depends on or is determined by the age of the entities involved.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:21 a.m.