Triple
T34412564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonel E.H. Taylor Jr. Bourbon |
E883312
|
entity |
| Predicate | distilleryRequirement |
P179647
|
FINISHED |
| Object | one distillery |
—
|
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: one distillery | Statement: [Colonel E.H. Taylor Jr. Bourbon, distilleryRequirement, one distillery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distilleryRequirement Context triple: [Colonel E.H. Taylor Jr. Bourbon, distilleryRequirement, one distillery]
-
A.
hasDistillery
Indicates that one entity owns, operates, or is associated with a distillery as a facility or production site.
-
B.
distilleryType
Indicates the specific kind or category of distillery associated with an entity (e.g., craft, industrial, micro, or regional type).
-
C.
distilleryLicenseStatus
Indicates the current legal or regulatory status of a distillery’s operating license.
-
D.
hasNearbyDistillery
Indicates that one entity is located close to or in the vicinity of a distillery.
-
E.
hasDistilleryConcentration
Indicates that a specified area or region has a particular density or concentration of distilleries.
- 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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7238172748190b8cd340ad1f4ba80 |
completed | May 3, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f72349f1108190b6a06758ab2f40bb |
completed | May 3, 2026, 10:28 a.m. |
Created at: May 1, 2026, 1:59 a.m.