Triple
T32510593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Target pharmacy and clinic businesses |
E830918
|
entity |
| Predicate | relationshipAfterSale |
—
|
GENERATED |
| Object | CVS-operated pharmacies inside Target stores |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipAfterSale Context triple: [Target pharmacy and clinic businesses, relationshipAfterSale, CVS-operated pharmacies inside Target stores]
-
A.
relationshipOutcome
Indicates the result or consequence that arises from a particular relationship between two or more entities.
-
B.
soldAfter
Indicates that one item was sold at a later time than another item.
-
C.
laterRelationshipWith
Indicates that one entity has a relationship with another that occurs at a later time relative to some reference point or prior relationship.
-
D.
saleResultedIn
Indicates that a particular sale transaction led to or caused a specific outcome, consequence, or resulting state.
-
E.
partnerBeforeMarriage
Indicates that one entity was the romantic or life partner of another entity prior to their marriage.
- F. None of above. chosen
Provenance (1 batch)
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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 1 a.m.