Triple

T9938138
Position Surface form Disambiguated ID Type / Status
Subject AET E194006 entity
Predicate acquirer P2511 FINISHED
Object CVS Health Corporation E194005 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 Health Corporation | Statement: [AET, acquirer, CVS Health Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CVS Health Corporation
Context triple: [AET, acquirer, CVS Health Corporation]
  • A. CVS Health chosen
    CVS Health is a major American healthcare company that operates a large pharmacy chain and provides health insurance and pharmacy benefit management services.
  • B. Walgreens Boots Alliance
    Walgreens Boots Alliance is a major global pharmacy-led health and retail company that operates the Walgreens and Boots drugstore chains, among other health and beauty brands.
  • C. CVS
    CVS is the IATA airport code for Cannon Air Force Base, a United States Air Force installation near Clovis, New Mexico.
  • D. CVS
    CVS is the commonly used abbreviation for the Center for Visual Science, a research organization focused on the scientific study of vision.
  • E. CVS
    CVS (Concurrent Versions System) is an early, widely used open-source version control system that manages changes to source code in collaborative software development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e64760819094f599f158d32f33 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb6276ec8190ad8623129f804c91 completed April 5, 2026, 8:51 p.m.
Created at: March 30, 2026, 8:44 p.m.