Triple

T6435231
Position Surface form Disambiguated ID Type / Status
Subject PACCAR E129877 entity
Predicate hasDivision P35 FINISHED
Object PACCAR Engine Company 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 Engine Company | Statement: [PACCAR, hasDivision, PACCAR Engine Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PACCAR Engine Company
Context triple: [PACCAR, hasDivision, PACCAR Engine Company]
  • 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. Perkins Engines Company Limited
    Perkins Engines Company Limited is a British manufacturer renowned for its diesel engines used in industrial, agricultural, construction, and power generation applications worldwide.
  • D. 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.
  • E. Deutz AG
    Deutz AG is a German manufacturer best known for producing internal combustion engines, particularly for industrial and agricultural applications.
  • 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_69c6538ca31c8190b4a24662c4eeffe9 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:45 p.m.