Triple

T16996164
Position Surface form Disambiguated ID Type / Status
Subject Freightliner E412319 entity
Predicate competitor P1375 FINISHED
Object International Trucks E211959 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: International Trucks | Statement: [Freightliner, competitor, International Trucks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: International Trucks
Context triple: [Freightliner, competitor, International Trucks]
  • A. International Trucks chosen
    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.
  • B. Ram Trucks
    Ram Trucks is an American brand of light to heavy-duty pickup trucks and commercial vehicles known for its powerful performance and rugged design.
  • C. 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.
  • D. Mack Trucks
    Mack Trucks is a historic American truck manufacturing company best known for its heavy-duty commercial vehicles and iconic bulldog logo.
  • E. UD Trucks
    UD Trucks is a Japanese commercial vehicle manufacturer known for producing medium- and heavy-duty trucks and buses for global markets.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d2879af081909665f9f838bcfbe7 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc18e6988190b42b3d251cf00b98 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.