Triple
T34224730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cardhu |
E878013
|
entity |
| Predicate | mashTunType |
P69350
|
FINISHED |
| Object | cast iron mash tun |
—
|
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: cast iron mash tun | Statement: [Cardhu, mashTunType, cast iron mash tun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mashTunType Context triple: [Cardhu, mashTunType, cast iron mash tun]
-
A.
hasMashTunType
chosen
Indicates that an entity is associated with or uses a specific type or configuration of mash tun.
-
B.
barrelType
Indicates the specific kind or category of barrel associated with or used in relation to an entity.
-
C.
bottlingType
Indicates the specific method or style in which a liquid product is bottled or packaged.
-
D.
typicalCaskType
Indicates the usual or most commonly used type of cask associated with a given entity or context.
-
E.
breweryType
Indicates the specific category or classification of a brewery based on its operational or business characteristics.
- 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_69f349b16d0481908754e3069f05e0c1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:55 a.m.