Triple

T13289557
Position Surface form Disambiguated ID Type / Status
Subject GMT530 platform E316531 entity
Predicate brand P1500 FINISHED
Object GMC E11255 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: GMC | Statement: [GMT530 platform, brand, GMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GMC
Context triple: [GMT530 platform, brand, 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.

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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99076aeec8190b0cb883ab60d3f6b completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d4a6f48190a2020e11e887be2e completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:27 p.m.