Triple

T892158
Position Surface form Disambiguated ID Type / Status
Subject Ram E19262 entity
Predicate predecessor P97 FINISHED
Object Dodge Truck Division E17566 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: Dodge Truck Division | Statement: [Ram, predecessor, Dodge Truck Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dodge Truck Division
Context triple: [Ram, predecessor, Dodge Truck Division]
  • A. Dodge
    Dodge is an American automotive brand best known for its performance-oriented cars, muscle vehicles, and trucks.
  • B. Ram Trucks chosen
    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. Chrysler
    Chrysler is a major American automobile manufacturer, historically recognized as one of the United States' "Big Three" car companies alongside General Motors and Ford.
  • D. Jeep
    Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
  • E. Dodge Challenger
    The Dodge Challenger is a classic American muscle car known for its bold retro styling and powerful performance, produced by Dodge across several generations since the 1970s.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad0304b081908d4c92bb2beadb81 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c025464081908032939637248635 completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:39 p.m.