Triple
T30995419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kir Breton |
E789782
|
entity |
| Predicate | usesCassisType |
P190061
|
FINISHED |
| Object | crème de cassis |
—
|
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: crème de cassis | Statement: [Kir Breton, usesCassisType, crème de cassis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCassisType Context triple: [Kir Breton, usesCassisType, crème de cassis]
-
A.
usesCircuitType
Indicates that one entity employs or is implemented using a specific type of circuit.
-
B.
usesCiliaFor
Indicates that an entity employs cilia as the means or mechanism to perform a particular function or action.
-
C.
usesCastingOf
Indicates that one entity employs or applies a particular casting of another entity (such as a type, role, or form) in its operation or context.
-
D.
hasCAS
Indicates that an entity is associated with a specific Chemical Abstracts Service (CAS) registry number identifying it as a distinct chemical substance.
-
E.
usesToolType
Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
- 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_69f224c65a348190baaed1c01a29900c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: April 29, 2026, 8:56 p.m.