Triple
T31481431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bushmills Causeway Collection |
E803153
|
entity |
| Predicate | marketingSegment |
P16877
|
FINISHED |
| Object | connoisseur segment |
—
|
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: connoisseur segment | Statement: [Bushmills Causeway Collection, marketingSegment, connoisseur segment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingSegment Context triple: [Bushmills Causeway Collection, marketingSegment, connoisseur segment]
-
A.
marketSegmentType
Indicates the specific category or segment of the market that an entity, product, or service is targeted toward or associated with.
-
B.
marketSegmentPreviewed
Indicates that a specific market segment has been reviewed or examined in advance, typically as part of planning, analysis, or evaluation activities.
-
C.
brandSegment
chosen
Indicates the specific market segment or customer group that a brand is targeted toward or associated with.
-
D.
offersMarketSegment
Indicates that a provider makes a specific market segment available as a target or recipient for its products, services, or offerings.
-
E.
marketSegmentCoverage
Indicates the extent to which a product, service, or campaign reaches or serves the intended market segment(s).
- 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_69f348c9477c8190bc0a21f6d482d2fc |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 30, 2026, 9:32 p.m.