Triple

T18167198
Position Surface form Disambiguated ID Type / Status
Subject Patience E434923 entity
Predicate hasTrack P3284 FINISHED
Object Cars and Trains
Cars and Trains is a children’s song from the educational series “Patience” that uses vehicles to teach kids about waiting and turn-taking.
 E1309196 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 and Trains | Statement: [Patience, hasTrack, Cars and Trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cars and Trains
Context triple: [Patience, hasTrack, Cars and Trains]
  • A. 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.
  • B. Carros
    Carros is a commune in southeastern France situated in the Alpes-Maritimes department near Nice on the French Riviera.
  • C. Cars
    Cars is a 2006 Pixar animated film that follows a hotshot race car who discovers friendship and humility in a forgotten desert town.
  • D. 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.
  • E. Metrocars
    Metrocars are the electric multiple unit trains specifically designed and used for passenger services on the Tyne and Wear Metro system in North East England.
  • 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 and Trains
Triple: [Patience, hasTrack, Cars and Trains]
Generated description
Cars and Trains is a children’s song from the educational series “Patience” that uses vehicles to teach kids about waiting and turn-taking.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cars and Trains
Target entity description: Cars and Trains is a children’s song from the educational series “Patience” that uses vehicles to teach kids about waiting and turn-taking.
  • A. 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.
  • B. Carros
    Carros is a commune in southeastern France situated in the Alpes-Maritimes department near Nice on the French Riviera.
  • C. Cars
    Cars is a 2006 Pixar animated film that follows a hotshot race car who discovers friendship and humility in a forgotten desert town.
  • D. 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.
  • E. Metrocars
    Metrocars are the electric multiple unit trains specifically designed and used for passenger services on the Tyne and Wear Metro system in North East England.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df52f8b08190ab2c4d76b510cd28 completed April 19, 2026, 1:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038fc4790081909e87ae00ba6c83bf completed May 12, 2026, 8:38 p.m.
NEDg Description generation batch_6a039099efbc8190a4a81caabbb65962 completed May 12, 2026, 8:42 p.m.
NED2 Entity disambiguation (via description) batch_6a03916f64a08190bbc96ef6308caa52 completed May 12, 2026, 8:45 p.m.
Created at: April 10, 2026, 10:30 a.m.