Triple
T22704431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Glenlivet |
E561410
|
entity |
| Predicate | legalDistillationLicenseYear |
P149390
|
FINISHED |
| Object | 1824 |
—
|
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: 1824 | Statement: [The Glenlivet, legalDistillationLicenseYear, 1824]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalDistillationLicenseYear Context triple: [The Glenlivet, legalDistillationLicenseYear, 1824]
-
A.
legalCodeIssuedInYear
Indicates the year in which a particular legal code was formally issued or enacted.
-
B.
legalLicenseIn
Indicates that an entity holds a valid legal license or authorization to operate, practice, or conduct a specified activity within a particular jurisdiction or region.
-
C.
copyrightYear
Indicates the year in which the work or content is legally copyrighted or first granted copyright protection.
-
D.
oftenLicensedUnder
Indicates that an entity is frequently or commonly granted rights or permissions under a specified license.
-
E.
licenseExpirationYear
Indicates the calendar year in which a given license ceases to be valid or legally effective.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cca1e48190bbe7910f13692803 |
completed | April 29, 2026, 3:19 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:16 p.m.