Triple

T3857942
Position Surface form Disambiguated ID Type / Status
Subject Regency E90063 entity
Predicate automakerParentCompany P52386 FINISHED
Object General Motors E506 NE FINISHED

How this triple was built (3 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: General Motors | Statement: [Regency, automakerParentCompany, General Motors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Motors
Context triple: [Regency, automakerParentCompany, General Motors]
  • A. General Motors chosen
    General Motors is a major American multinational automotive manufacturer known for brands such as Chevrolet, GMC, Cadillac, and Buick.
  • B. Ford Motor Company
    Ford Motor Company is a major American automobile manufacturer, founded by Henry Ford, known for pioneering assembly-line mass production and producing iconic vehicles like the Model T and F-Series trucks.
  • C. Ford
    Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
  • D. Chevrolet
    Chevrolet is a major American automobile marque known for producing a wide range of affordable cars, trucks, and SUVs.
  • E. American Motors Corporation
    American Motors Corporation was a major American automobile manufacturer best known for producing compact cars and later spawning the AM General division that built military and utility vehicles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: automakerParentCompany
Context triple: [Regency, automakerParentCompany, General Motors]
  • A. formerParentCompany
    Indicates that one entity previously served as the parent company of another but no longer holds that status.
  • B. ultimateParentCompany
    Indicates that one company is the highest-level controlling entity in a corporate ownership structure, with no parent company above it.
  • C. formerManufacturer
    Indicates that an entity previously manufactured another entity but no longer does so.
  • D. alsoManufacturedBy
    Indicates that an item or product is produced by an additional manufacturer beyond the primary or previously mentioned one.
  • E. laterParentCompany
    Indicates that one entity became the parent company of another entity at a later point in time, after some prior state or relationship.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1e68f88190941c39221486f6ae completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503e45050819088f51d8161b31abb completed March 14, 2026, 6:44 a.m.
PD Predicate disambiguation batch_69aee752c8a48190a670f73ed0bf1e61 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aeeb828fb08190901d51edbe8bd304 completed March 9, 2026, 3:47 p.m.
Created at: March 9, 2026, 3:19 p.m.