Triple

T12673865
Position Surface form Disambiguated ID Type / Status
Subject WBA E302753 entity
Predicate underlyingCompanyFormerName P80361 FINISHED
Object Walgreen Co. E62430 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: Walgreen Co. | Statement: [WBA, underlyingCompanyFormerName, Walgreen Co.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walgreen Co.
Context triple: [WBA, underlyingCompanyFormerName, Walgreen Co.]
  • A. Walgreens Boots Alliance chosen
    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.
  • B. 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.
  • C. 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.
  • D. Schwab's Pharmacy
    Schwab's Pharmacy was a famous Hollywood drugstore and soda fountain legendary as the spot where actress Lana Turner was discovered and as a popular hangout for film industry figures.
  • E. Kroger
    Kroger is one of the largest supermarket and retail grocery chains in the United States, operating thousands of stores under various banners nationwide.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961af991c8190b6079cb57e593b8f completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684dfce0c8190b3b8260450bd6967 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:20 p.m.