Triple
T34290349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanton's Single Barrel Bourbon |
E879869
|
entity |
| Predicate | stopperMaterial |
P1272
|
FINISHED |
| Object | metal |
—
|
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: metal | Statement: [Blanton's Single Barrel Bourbon, stopperMaterial, metal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stopperMaterial Context triple: [Blanton's Single Barrel Bourbon, stopperMaterial, metal]
-
A.
testedMaterial
Indicates that an entity has been used as the material or substance on which a test or experiment was performed.
-
B.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
C.
suspensionMaterial
Indicates the material from which a suspension (such as a vehicle’s suspension component or system) is made.
-
D.
suppliedMaterialType
Indicates the type or category of material that is provided or supplied in a given context.
-
E.
tailUnitMaterial
Indicates that the material specified is used to construct or compose the tail unit of an object or structure.
- 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_69f349b6df1c81908e5e5b6c2ab6409b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.