Triple
T33268864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor’s Pride |
E851722
|
entity |
| Predicate | hasConsumerCategory |
P82611
|
FINISHED |
| Object | smokers |
—
|
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: smokers | Statement: [Taylor’s Pride, hasConsumerCategory, smokers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConsumerCategory Context triple: [Taylor’s Pride, hasConsumerCategory, smokers]
-
A.
usesCategory
Indicates that one entity makes use of, operates within, or is classified under a specified category.
-
B.
hasSupportCategory
Indicates that an entity is associated with a particular type or category of support it receives or provides.
-
C.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
D.
hasCategories
chosen
Indicates that an entity is associated with one or more categories that classify or group it.
-
E.
hasBodelCategory
Indicates that an entity is associated with a specific Bodel classification category within a defined categorization system.
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:32 a.m.