Triple

T14631554
Position Surface form Disambiguated ID Type / Status
Subject Freddie E343489 entity
Predicate hasTrack P3284 FINISHED
Object Andretti
Andretti is a well-known racing circuit or track associated with motorsports competition.
E1110554 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: Andretti | Statement: [Freddie, hasTrack, Andretti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andretti
Context triple: [Freddie, hasTrack, Andretti]
  • A. Toleman
    Toleman was a British Formula One constructor of the early 1980s best known for giving Ayrton Senna his Grand Prix debut.
  • B. Andretti Green Racing
    Andretti Green Racing was a prominent American auto racing team best known for its success in the IndyCar Series under the ownership of Michael Andretti.
  • C. Dennit Racing
    Dennit Racing is the fictional NASCAR team featured in the comedy film "Talladega Nights: The Ballad of Ricky Bobby," for which Ricky Bobby drives.
  • D. Coutras
    Coutras is a commune in southwestern France known historically as the site of a major battle during the French Wars of Religion.
  • E. Ranier-Lundy Racing
    Ranier-Lundy Racing was a NASCAR Winston Cup Series team known for fielding competitive cars in the 1970s and 1980s for drivers such as Davey Allison.
  • 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: Andretti
Triple: [Freddie, hasTrack, Andretti]
Generated description
Andretti is a well-known racing circuit or track associated with motorsports competition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andretti
Target entity description: Andretti is a well-known racing circuit or track associated with motorsports competition.
  • A. Toleman
    Toleman was a British Formula One constructor of the early 1980s best known for giving Ayrton Senna his Grand Prix debut.
  • B. Andretti Green Racing
    Andretti Green Racing was a prominent American auto racing team best known for its success in the IndyCar Series under the ownership of Michael Andretti.
  • C. Dennit Racing
    Dennit Racing is the fictional NASCAR team featured in the comedy film "Talladega Nights: The Ballad of Ricky Bobby," for which Ricky Bobby drives.
  • D. Coutras
    Coutras is a commune in southwestern France known historically as the site of a major battle during the French Wars of Religion.
  • E. Ranier-Lundy Racing
    Ranier-Lundy Racing was a NASCAR Winston Cup Series team known for fielding competitive cars in the 1970s and 1980s for drivers such as Davey Allison.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4a912248190a3df7f821395c776 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda931834081909d90ec0479eca3f9 completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb27c8db481909330d299faded4f3 completed May 8, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69fdb3b24320819098dd7fab0c3a0507 completed May 8, 2026, 9:58 a.m.
Created at: April 10, 2026, 1:26 a.m.