Triple

T6737882
Position Surface form Disambiguated ID Type / Status
Subject LS E154001 entity
Predicate associatedWithMake P2830 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: [LS, associatedWithMake, General Motors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Motors
Context triple: [LS, associatedWithMake, 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 town in the Metropolitan Borough of Sefton, Merseyside, England, forming part of the northern suburbs of Liverpool.
  • D. Ford
    Ford is a small village in the Arun District of West Sussex, England, known for its rural character and nearby railway station.
  • E. Ford
    Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
  • 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: associatedWithMake
Context triple: [LS, associatedWithMake, General Motors]
  • A. associatedWithMechanic
    Indicates a relationship where an entity is connected or linked to a mechanic, such as a process, rule, or functional mechanism involved in its operation or behavior.
  • B. associatedWithMatch
    Indicates a relationship where an entity is linked or connected to a particular match or matching event.
  • C. isAssociatedWith chosen
    Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
  • D. associatedWithUse
    Indicates a relationship where one entity is connected to or involved in the use or utilization of another entity.
  • E. associatedWithFront
    Indicates a relationship where one entity is linked or connected specifically to the front part, side, or face of another entity.
  • F. None of above.

Provenance (4 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1850a288190aa7e647fefbb0ede completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0b97248190bf6bac160fe3d45b completed March 27, 2026, 10:56 p.m.
PD Predicate disambiguation batch_69c6d09067a0819087ed6c820f4699f8 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:10 p.m.