Triple

T32510593
Position Surface form Disambiguated ID Type / Status
Subject Target pharmacy and clinic businesses E830918 entity
Predicate relationshipAfterSale P206298 FINISHED
Object CVS-operated pharmacies inside Target stores E1282937 NE 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: CVS-operated pharmacies inside Target stores | Statement: [Target pharmacy and clinic businesses, relationshipAfterSale, CVS-operated pharmacies inside Target stores]
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 (5 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_69f3492318348190ba37fb6b5f1d67f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a037c9141dc819098d7fcc36e69882c completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3470626c6c8190acd20484c4f9c6a1 completed June 18, 2026, 10:25 p.m.
PD Predicate disambiguation batch_6a0379edf2d88190b492fca86ed23cac completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c7fb9f88190b384b1b68200aef0 completed May 12, 2026, 7:16 p.m.
Created at: May 1, 2026, 1 a.m.