Triple
T1513247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trump Winery |
E32060
|
entity |
| Predicate | hasMarketingFocus |
P18486
|
FINISHED |
| Object | estate-grown 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: estate-grown wines | Statement: [Trump Winery, hasMarketingFocus, estate-grown wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarketingFocus Context triple: [Trump Winery, hasMarketingFocus, estate-grown wines]
-
A.
hasMarketingCategory
Indicates that an entity is associated with a specific marketing category or segment used for classification or targeting.
-
B.
hasMarketingRole
Indicates that an entity holds a position or responsibility related to marketing activities within an organization.
-
C.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
D.
brandFocus
chosen
Indicates that a brand primarily concentrates its efforts, messaging, or resources on a particular target, theme, or market segment.
-
E.
coreMarket
Indicates that an entity serves as the primary or most important market for another entity’s products, services, or activities.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9396e16408190b5e7b0ac43376d81 |
completed | March 5, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69a907aa67cc81909f00135365447399 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.