Triple
T32090620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fins Bois (Cognac cru) |
E819580
|
entity |
| Predicate | relativeMaturationSpeed |
P206173
|
FINISHED |
| Object | fast |
—
|
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: fast | Statement: [Fins Bois (Cognac cru), relativeMaturationSpeed, fast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeMaturationSpeed Context triple: [Fins Bois (Cognac cru), relativeMaturationSpeed, fast]
-
A.
maturationEffect
Indicates the influence or change that maturation (natural developmental progression over time) has on an entity’s characteristics, behavior, or state.
-
B.
maturesLateComparedTo
Indicates that one entity reaches maturity significantly later in time than another entity used as a reference.
-
C.
firstMaturation
Indicates the point or process at which an entity undergoes its initial stage of maturation or development.
-
D.
secondMaturation
Indicates that an entity undergoes a subsequent or later stage of maturation following an initial maturation process.
-
E.
maturesIn
Indicates that an entity reaches full development, ripeness, or maturity within a specified time period or under certain conditions.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:25 a.m.