Triple

T20634848
Position Surface form Disambiguated ID Type / Status
Subject GM Ramos Arizpe Plant E507049 entity
Predicate ownedBrand P1500 FINISHED
Object GMC NE NERFINISHED

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: GMC | Statement: [GM Ramos Arizpe Plant, ownedBrand, GMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GMC
Context triple: [GM Ramos Arizpe Plant, ownedBrand, 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 commonly used abbreviation for the Gilgit Municipal Corporation, the local governing body of Gilgit city in Pakistan’s Gilgit-Baltistan region.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad0e5fc481909e4f0dd7fb1203fc completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:42 a.m.