Triple
T2596476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syrah |
E58242
|
entity |
| Predicate | canProduce |
P5771
|
FINISHED |
| Object | rosé wine |
—
|
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: rosé wine | Statement: [Syrah, canProduce, rosé wine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canProduce Context triple: [Syrah, canProduce, rosé wine]
-
A.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
-
B.
canMake
chosen
Indicates that one entity has the ability or capacity to create, produce, or assemble another entity.
-
C.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
D.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
E.
producesFor
Indicates that one entity creates, manufactures, or generates something specifically intended for another entity’s use, benefit, or distribution.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42b3cd4819093b2cab78de1f66c |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.