Triple
T31222934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Clémentin de Pape Clément (white) |
E796062
|
entity |
| Predicate | intendedConsumptionWindow |
P150927
|
FINISHED |
| Object | within a few years of vintage |
—
|
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: within a few years of vintage | Statement: [Le Clémentin de Pape Clément (white), intendedConsumptionWindow, within a few years of vintage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedConsumptionWindow Context triple: [Le Clémentin de Pape Clément (white), intendedConsumptionWindow, within a few years of vintage]
-
A.
consumptionWindow
chosen
Indicates the time period or conditions within which a resource, product, or content is intended or allowed to be used or consumed.
-
B.
intendedConsumption
Indicates that one entity is meant or designed to be consumed or used up by another entity.
-
C.
consumptionTime
Indicates the amount of time required for an entity to be consumed, used up, or completed.
-
D.
consumedAfter
Indicates that one item is consumed only after another specified item has been consumed.
-
E.
timeframeOfUse
Indicates the period or duration during which something is intended, allowed, or expected to be used.
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: April 29, 2026, 9:10 p.m.