Triple

T12189081
Position Surface form Disambiguated ID Type / Status
Subject John Deere E290412 entity
Predicate hasDivision P35 FINISHED
Object John Deere Financial E290412 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: John Deere Financial | Statement: [John Deere, hasDivision, John Deere Financial]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Deere Financial
Context triple: [John Deere, hasDivision, John Deere Financial]
  • A. John Deere chosen
    John Deere is a leading American manufacturer of agricultural, construction, and forestry machinery, best known for its green and yellow farm equipment.
  • B. John Deere World Headquarters
    John Deere World Headquarters is the iconic modernist corporate campus in Moline, Illinois, designed by architect John Dinkeloo (with Eero Saarinen) for the agricultural machinery company Deere & Company.
  • C. New Holland
    New Holland is the fictional, retro-styled American suburb that serves as the primary setting for Tim Burton’s animated film "Frankenweenie."
  • D. New Holland
    New Holland was the name given by the Dutch to their 17th-century colonial possessions in northeastern Brazil, known historically as Dutch Brazil.
  • E. International Harvester
    International Harvester was a major American manufacturer of agricultural machinery, construction equipment, trucks, and related products throughout much of the 20th century.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c5102848190ad652c3d6445f65a completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6b240f88190af916054869c3b95 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.