Triple
T6244477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casella Family Brands |
E139683
|
entity |
| Predicate | hasTargetPriceSegment |
P69282
|
FINISHED |
| Object | entry-level wines |
—
|
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: entry-level wines | Statement: [Casella Family Brands, hasTargetPriceSegment, entry-level wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTargetPriceSegment Context triple: [Casella Family Brands, hasTargetPriceSegment, entry-level wines]
-
A.
initialPriceTarget
Indicates the originally set price level that an analyst or entity targets for an asset before any subsequent revisions.
-
B.
isValuePriced
Indicates that something is offered at a relatively low or favorable price compared to typical or premium alternatives.
-
C.
hasPriceUnit
Indicates that a price value is expressed in a specific unit of currency or measurement.
-
D.
priceDeterminedBy
Indicates that the price of one entity is set, influenced, or calculated based on another entity or factor.
-
E.
hasMarketingTarget
Indicates that an entity is aimed at or intended to appeal to a specific marketing audience or segment.
- 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_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. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:23 p.m.