Triple

T21669391
Position Surface form Disambiguated ID Type / Status
Subject Ralph Gilles E534805 entity
Predicate hasDesignedForBrand P54291 FINISHED
Object Ram Trucks 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: Ram Trucks | Statement: [Ralph Gilles, hasDesignedForBrand, Ram Trucks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ram Trucks
Context triple: [Ralph Gilles, hasDesignedForBrand, Ram Trucks]
  • A. Ram Trucks chosen
    Ram Trucks is an American brand of light to heavy-duty pickup trucks and commercial vehicles known for its powerful performance and rugged design.
  • B. UD Trucks
    UD Trucks is a Japanese commercial vehicle manufacturer known for producing medium- and heavy-duty trucks and buses for global markets.
  • C. MAN Truck & Bus
    MAN Truck & Bus is a major European commercial vehicle manufacturer specializing in trucks, buses, and diesel engines, headquartered in Germany and operating worldwide.
  • D. International Trucks
    International Trucks is a major American manufacturer of commercial trucks and diesel engines, known for producing a wide range of medium- and heavy-duty vehicles for freight, construction, and vocational use.
  • E. Rockwell trucks
    Rockwell trucks are a type of railcar bogie assembly used on New York City’s R46 subway cars, designed to support and guide the cars along the tracks.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a0a9b4481909477245d53f99cb0 completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:37 p.m.