Triple

T4279143
Position Surface form Disambiguated ID Type / Status
Subject FreeBSD E97108 entity
Predicate previouslyUsedVersionControl P48489 FINISHED
Object CVS E184314 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 | Statement: [FreeBSD, previouslyUsedVersionControl, CVS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CVS
Context triple: [FreeBSD, previouslyUsedVersionControl, CVS]
  • A. CVS chosen
    CVS (Concurrent Versions System) is an early, widely used open-source version control system that manages changes to source code in collaborative software development.
  • B. CVS
    CVS is the IATA airport code for Cannon Air Force Base, a United States Air Force installation near Clovis, New Mexico.
  • C. CVS Health
    CVS Health is a major American healthcare company that operates a large pharmacy chain and provides health insurance and pharmacy benefit management services.
  • D. Duane Reade
    Duane Reade is a New York City–based chain of neighborhood pharmacy and convenience stores known for its dense urban presence and everyday consumer goods.
  • E. 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.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350367da48190b735deef9b5d2d2e completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b708b481908c1683741f84ee55 completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.