Triple

T6435229
Position Surface form Disambiguated ID Type / Status
Subject PACCAR E129877 entity
Predicate hasDivision P35 FINISHED
Object PACCAR Parts E129877 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: PACCAR Parts | Statement: [PACCAR, hasDivision, PACCAR Parts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PACCAR Parts
Context triple: [PACCAR, hasDivision, PACCAR Parts]
  • A. PACCAR chosen
    PACCAR is a major American manufacturer of commercial trucks and related heavy-duty vehicles headquartered in Bellevue, Washington.
  • B. Cummins
    Cummins is a global power technology company best known for designing, manufacturing, and servicing diesel and alternative-fuel engines and related power systems.
  • C. 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.
  • D. DAF Trucks
    DAF Trucks is a Dutch manufacturer of commercial vehicles and heavy-duty trucks known for its reliable long-haul and distribution trucks across Europe and beyond.
  • 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 (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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c069415c3c8190b91bd12ae79edd26 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bbf31bc8190981362639a0e1ce5 completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:45 p.m.