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.