Triple

T1909618
Position Surface form Disambiguated ID Type / Status
Subject Traton SE E38078 entity
Predicate owns P347 FINISHED
Object MAN Truck & Bus SE E212627 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: MAN Truck & Bus SE | Statement: [Traton SE, owns, MAN Truck & Bus SE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAN Truck & Bus SE
Context triple: [Traton SE, owns, MAN Truck & Bus SE]
  • A. MAN Truck & Bus chosen
    MAN Truck & Bus is a major European commercial vehicle manufacturer specializing in trucks, buses, and diesel engines, headquartered in Germany and operating worldwide.
  • B. Navistar International Corporation
    Navistar International Corporation is a major American manufacturer of commercial trucks, buses, and diesel engines, best known for its International brand of vehicles.
  • C. AM General
    AM General is an American heavy vehicle manufacturer best known for developing the military Humvee and its civilian counterpart, the Hummer.
  • D. PACCAR
    PACCAR is a major American manufacturer of commercial trucks and related heavy-duty vehicles headquartered in Bellevue, Washington.
  • E. 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.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1b7095c8190ad7e472aada30d3d completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae030e55f88190a9996d785066ea20 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:35 p.m.