Triple

T1299291
Position Surface form Disambiguated ID Type / Status
Subject Chrysler E27723 entity
Predicate hasDivision P35 FINISHED
Object Dodge E29253 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 | Statement: [Chrysler, hasDivision, Dodge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dodge
Context triple: [Chrysler, hasDivision, Dodge]
  • A. Dodge chosen
    Dodge is an American automotive brand best known for its performance-oriented cars, muscle vehicles, and trucks.
  • B. 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.
  • C. Jeep
    Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
  • D. 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.
  • E. Chrysler 300
    The Chrysler 300 is a full-size American sedan known for its bold, boxy styling, rear-wheel-drive platform, and available V8 power, serving as one of Chrysler’s flagship models in the modern era.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c111a76c81909e6b914694986251 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb30292dc8190a33fd62c997c3f1b completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.