Triple

T13444981
Position Surface form Disambiguated ID Type / Status
Subject Lansing Delta Township Assembly E320456 entity
Predicate hasMake P26032 FINISHED
Object GMC E11255 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: GMC | Statement: [Lansing Delta Township Assembly, hasMake, GMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GMC
Context triple: [Lansing Delta Township Assembly, hasMake, GMC]
  • A. GMC chosen
    GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
  • B. GMC
    GMC is the independent regulatory body that oversees medical education and professional standards for doctors in the United Kingdom.
  • C. GMC
    GMC is the commonly used abbreviation for the Great Midwest Conference, a former NCAA collegiate athletic conference in the United States.
  • D. GMC
    GMC is the abbreviation for the Common Market Group, the executive body responsible for coordinating and implementing policies within the Mercosur regional trade bloc.
  • E. GMC Caballero
    The GMC Caballero is a car-based pickup coupe produced by General Motors in the late 1970s and 1980s as GMC’s counterpart to the Chevrolet El Camino.
  • 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: hasMake
Context triple: [Lansing Delta Township Assembly, hasMake, GMC]
  • A. hasMade
    Indicates that an entity has created, produced, or brought about another entity or outcome.
  • B. usesMake
    Indicates that one entity employs, applies, or utilizes another entity as a means, tool, or method to achieve some purpose.
  • C. canMake
    Indicates that one entity has the ability or capacity to create, produce, or assemble another entity.
  • D. hasProduction chosen
    Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
  • E. madeWith
    Indicates that one entity is created, produced, or constructed using another entity as a material, ingredient, or component.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef5f610819092cad33ef72075ff completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74621474c8190b96a8f8561451bed completed May 3, 2026, 12:57 p.m.
PD Predicate disambiguation batch_69d9a03ce03481908c61094f0cc0c158 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:40 p.m.