Triple
T1407775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pawtucket Patriot Ale |
E31733
|
entity |
| Predicate | hasPackagingType |
P9900
|
FINISHED |
| Object | beer bottle |
—
|
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: beer bottle | Statement: [Pawtucket Patriot Ale, hasPackagingType, beer bottle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPackagingType Context triple: [Pawtucket Patriot Ale, hasPackagingType, beer bottle]
-
A.
packaging
chosen
Indicates that one entity serves as the container, wrapper, or enclosing material used to package another entity.
-
B.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
C.
packagingRequirement
Indicates the specific conditions, standards, or constraints that must be met in how something is packaged.
-
D.
hasCoverType
Indicates that one entity possesses or is associated with a specific type or category of cover.
-
E.
hasImprintType
Indicates that an entity (such as a publication or product) is associated with a specific type or category of imprint.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bf7f0c8190aee96818de6ff4a5 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf030a388190bc82d30b9233e873 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.