Triple
T38657849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heaven Hill Bottled-in-Bond Bourbon |
E939943
|
entity |
| Predicate | bottlingLocation |
P191486
|
FINISHED |
| Object | United States government bonded warehouse |
—
|
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: United States government bonded warehouse | Statement: [Heaven Hill Bottled-in-Bond Bourbon, bottlingLocation, United States government bonded warehouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bottlingLocation Context triple: [Heaven Hill Bottled-in-Bond Bourbon, bottlingLocation, United States government bonded warehouse]
-
A.
bottlingOnSite
Indicates that the bottling of a product takes place at the same physical location where it is produced or processed.
-
B.
bottledNear
Indicates that one entity was bottled at a location that is geographically close to another specified entity or location.
-
C.
bottlingType
Indicates the specific method or style in which a liquid product is bottled or packaged.
-
D.
bottledAs
Indicates that a substance or product has been placed into a bottle in a particular form, configuration, or under a specific label or brand.
-
E.
bottledBy
Indicates that one entity is responsible for placing another entity into bottles or containers for packaging or distribution.
- 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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:33 p.m.