Triple
T8850895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vernaccia di San Gimignano wine |
E210633
|
entity |
| Predicate | agingRequirementForRiserva |
P84987
|
FINISHED |
| Object | at least 1 year |
—
|
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: at least 1 year | Statement: [Vernaccia di San Gimignano wine, agingRequirementForRiserva, at least 1 year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agingRequirementForRiserva Context triple: [Vernaccia di San Gimignano wine, agingRequirementForRiserva, at least 1 year]
-
A.
bookingRequirement
Indicates that a particular condition, rule, or prerequisite must be satisfied in order to make or confirm a booking.
-
B.
occupancyRequirement
Indicates that a condition specifies how many or which entities must be present in or using a particular space or resource.
-
C.
requiresReservationInPeakSeason
Indicates that the subject can only be accessed or used during peak season if a reservation has been made in advance.
-
D.
visitorRequirement
Indicates the conditions or criteria that must be met by a visitor in order to be allowed or accepted.
-
E.
agingRequirementOnLees
Indicates that an entity must be aged in contact with its lees (sediment of dead yeast and other particles) for a specified period as part of a production or quality requirement.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c2300c819097b1ca6ebe2f749a |
completed | April 1, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cffe8ec819084c12770fe0578f2 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:49 p.m.