Triple
T32023700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borderies (Cognac cru) |
E817761
|
entity |
| Predicate | relativeSizeWithinCognacCrus |
P173127
|
FINISHED |
| Object | smallest cru |
—
|
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: smallest cru | Statement: [Borderies (Cognac cru), relativeSizeWithinCognacCrus, smallest cru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeSizeWithinCognacCrus Context triple: [Borderies (Cognac cru), relativeSizeWithinCognacCrus, smallest cru]
-
A.
rankWithinCognacCrus
chosen
Indicates the relative hierarchical position or status of something within the defined set of Cognac crus.
-
B.
hasGrandCru
Indicates that an entity possesses, is associated with, or includes a wine classified as Grand Cru.
-
C.
recognizedAsGrandCruSince
Indicates that an entity has held the official status or classification of Grand Cru starting from a specified point in time.
-
D.
numberOfBeaujolaisCrus
Indicates the specific count of Beaujolais crus associated with or relevant to an entity.
-
E.
numberOfClassifiedSauternesBarsacEstates
Indicates the total count of estates in Sauternes and Barsac that hold an official classification status.
- 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:17 a.m.