Triple

T13960915
Position Surface form Disambiguated ID Type / Status
Subject Cash for Clunkers program E335788 entity
Predicate shortName P43 FINISHED
Object CARS
CARS is the commonly used acronym for the U.S. federal "Cash for Clunkers" vehicle trade-in and rebate program launched in 2009 to stimulate auto sales and improve fuel efficiency.
E1074623 NE FINISHED

How this triple was built (4 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: CARS | Statement: [Cash for Clunkers program, shortName, CARS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CARS
Context triple: [Cash for Clunkers program, shortName, CARS]
  • A. Cars
    "Cars" is a 1979 new wave song by Gary Numan, known for its distinctive synthesizer riff and status as one of the earliest mainstream synth-pop hits.
  • B. Cars
    Cars is a 2006 Pixar animated film that follows a hotshot race car who discovers friendship and humility in a forgotten desert town.
  • C. CAR
    CAR is the standard NHL abbreviation for the Carolina Hurricanes professional ice hockey team.
  • D. CAR
    CAR is the commonly used abbreviation for the Chief of Army Reserve, the senior leader responsible for commanding and overseeing the United States Army Reserve.
  • E. CAR
    CAR is the Cordillera Administrative Region in the Philippines, an upland area in Northern Luzon known for its mountainous terrain and indigenous cultures.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CARS
Triple: [Cash for Clunkers program, shortName, CARS]
Generated description
CARS is the commonly used acronym for the U.S. federal "Cash for Clunkers" vehicle trade-in and rebate program launched in 2009 to stimulate auto sales and improve fuel efficiency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CARS
Target entity description: CARS is the commonly used acronym for the U.S. federal "Cash for Clunkers" vehicle trade-in and rebate program launched in 2009 to stimulate auto sales and improve fuel efficiency.
  • A. Cars
    Cars is a 2006 Pixar animated film that follows a hotshot race car who discovers friendship and humility in a forgotten desert town.
  • B. Cars
    "Cars" is a 1979 new wave song by Gary Numan, known for its distinctive synthesizer riff and status as one of the earliest mainstream synth-pop hits.
  • C. CAR
    CAR is the commonly used abbreviation for Rugby Africa, the governing body for rugby union on the African continent.
  • D. CAR
    CAR is the standard NHL abbreviation for the Carolina Hurricanes professional ice hockey team.
  • E. CAR
    CAR is the commonly used abbreviation for the Chief of Army Reserve, the senior leader responsible for commanding and overseeing the United States Army Reserve.
  • F. None of above. chosen

Provenance (5 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7b2f908190aa32f22298964746 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac8e47d48190a1d5e841810fe50c completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae3d04f081908c8d28148b4f1de0 completed May 6, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69fbaf41636c8190bf44bd238bd9d9a4 completed May 6, 2026, 9:14 p.m.
Created at: April 9, 2026, 10:17 p.m.