Triple
T6244475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casella Family Brands |
E139683
|
entity |
| Predicate | hasSecondaryProductionType |
P65738
|
FINISHED |
| Object | sparkling wine |
—
|
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: sparkling wine | Statement: [Casella Family Brands, hasSecondaryProductionType, sparkling wine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryProductionType Context triple: [Casella Family Brands, hasSecondaryProductionType, sparkling wine]
-
A.
hasSecondaryIndustry
Indicates that an entity is associated with an additional, non-primary industry in which it operates or participates.
-
B.
secondGenerationProduction
Indicates that the production activity involves a second generation of products, technologies, or processes derived from an earlier initial generation.
-
C.
secondaryProducts
chosen
Indicates that certain entities arise as secondary or byproduct outputs from a primary process, activity, or production.
-
D.
hasSecondaryBase
Indicates that an entity possesses or is associated with a secondary or additional base, distinct from its primary base.
-
E.
hasSecondarySubject
Indicates that an entity is associated with an additional, non-primary subject in a given context or relationship.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0631c63d48190a41ec1232aecb373 |
completed | March 22, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c056037bf88190a0a3fe7429345d0b |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:23 p.m.