Triple

T634213
Position Surface form Disambiguated ID Type / Status
Subject U.S. auto industry crisis of 2008–2010 E15986 entity
Predicate affectedCompany P17342 FINISHED
Object Chrysler E27723 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: Chrysler | Statement: [U.S. auto industry crisis of 2008–2010, affectedCompany, Chrysler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chrysler
Context triple: [U.S. auto industry crisis of 2008–2010, affectedCompany, Chrysler]
  • A. Chrysler chosen
    Chrysler is a major American automobile manufacturer, historically recognized as one of the United States' "Big Three" car companies alongside General Motors and Ford.
  • B. Dodge
    Dodge is an American automotive brand best known for its performance-oriented cars, muscle vehicles, and trucks.
  • C. Jeep
    Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
  • D. DeSoto
    DeSoto is a suburban city in the Dallas–Fort Worth metropolitan area in North Texas.
  • E. Pontiac
    Pontiac was an American automobile marque known for its performance-oriented cars and sporty image, produced by General Motors until its discontinuation in 2010.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a515ceb081908c064b2082047c0f completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56ef052308190bfaed448c3737ef6 completed March 2, 2026, 11:05 a.m.
Created at: March 1, 2026, 7:35 p.m.