Triple

T8929995
Position Surface form Disambiguated ID Type / Status
Subject MAN Truck & Bus E212627 entity
Predicate hasDivision P35 FINISHED
Object MAN Truck 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 | Statement: [MAN Truck & Bus, hasDivision, MAN Truck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAN Truck
Context triple: [MAN Truck & Bus, hasDivision, MAN Truck]
  • 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. 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. UD Trucks
    UD Trucks is a Japanese commercial vehicle manufacturer known for producing medium- and heavy-duty trucks and buses for global markets.
  • 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. Mack Trucks
    Mack Trucks is a historic American truck manufacturing company best known for its heavy-duty commercial vehicles and iconic bulldog logo.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6676d5d881908ce78cbb5561a68b completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba63544081909394500f28b34ccb completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:57 p.m.