Triple

T23368199
Position Surface form Disambiguated ID Type / Status
Subject Peterbilt E593381 entity
Predicate usesEngineFrom P72609 FINISHED
Object Cummins 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: Cummins | Statement: [Peterbilt, usesEngineFrom, Cummins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cummins
Context triple: [Peterbilt, usesEngineFrom, Cummins]
  • A. Cummins chosen
    Cummins is a global power technology company best known for designing, manufacturing, and servicing diesel and alternative-fuel engines and related power systems.
  • B. Cummins
    Cummins is a small rural town in South Australia known for its grain farming and role as a service centre on the Eyre Peninsula.
  • C. Cummins Unit
    Cummins Unit is a large state prison farm in Arkansas known for housing adult male inmates and operating extensive agricultural and industrial programs.
  • D. Perkins Engines Company Limited
    Perkins Engines Company Limited is a British manufacturer renowned for its diesel engines used in industrial, agricultural, construction, and power generation applications worldwide.
  • E. Cummins NHC-250 diesel engine
    The Cummins NHC-250 is a naturally aspirated, 855-cubic-inch inline six-cylinder diesel engine widely used in U.S. military 5-ton trucks for its durability and torque.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aed374819097d38f51894bee44 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:32 p.m.