Triple
T23070087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunnahabhain 25 Year Old |
E575167
|
entity |
| Predicate | caskTypeDetail |
P62362
|
FINISHED |
| Object | predominantly ex-sherry casks |
—
|
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: predominantly ex-sherry casks | Statement: [Bunnahabhain 25 Year Old, caskTypeDetail, predominantly ex-sherry casks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caskTypeDetail Context triple: [Bunnahabhain 25 Year Old, caskTypeDetail, predominantly ex-sherry casks]
-
A.
caskTypesUsed
chosen
Indicates that certain types of casks are used in relation to a given entity or process.
-
B.
caskSize
Indicates the capacity or volume associated with a particular cask.
-
C.
packageType
Indicates the classification or category of packaging associated with an item or shipment.
-
D.
marketedAsByApple
Indicates that a product, service, or feature is promoted or presented in marketing materials specifically by Apple as having a particular name, positioning, or branding.
-
E.
notableApplicationDevelopedOn
Indicates that a notable software application was created or built to run on a particular platform, system, or technology.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c5f17348190ab92cfdae9bcaeba |
completed | April 29, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:56 p.m.