Triple

T4190334
Position Surface form Disambiguated ID Type / Status
Subject Circuit of the Americas E89017 entity
Predicate alsoKnownAs P39 FINISHED
Object COTA
COTA is a modern motorsport and entertainment complex in Austin, Texas, best known for hosting Formula 1’s United States Grand Prix and other major racing events.
 E420580 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: COTA | Statement: [Circuit of the Americas, alsoKnownAs, COTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: COTA
Context triple: [Circuit of the Americas, alsoKnownAs, COTA]
  • A. Carmel
    Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
  • B. Orem
    Orem is a city in northern Utah known for its family-friendly suburbs, proximity to Provo, and the presence of Utah Valley University.
  • C. Canton
    Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
  • D. Canton
    Canton is a small New England town in Hartford County, Connecticut, known for its historic village centers and scenic Farmington River setting.
  • E. Canton
    Canton is a historic waterfront neighborhood in southeast Baltimore, Maryland, known for its revitalized harborfront, rowhouses, and vibrant bar and restaurant scene.
  • 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: COTA
Triple: [Circuit of the Americas, alsoKnownAs, COTA]
Generated description
COTA is a modern motorsport and entertainment complex in Austin, Texas, best known for hosting Formula 1’s United States Grand Prix and other major racing events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: COTA
Target entity description: COTA is a modern motorsport and entertainment complex in Austin, Texas, best known for hosting Formula 1’s United States Grand Prix and other major racing events.
  • A. Carmel
    Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
  • B. Orem
    Orem is a city in northern Utah known for its family-friendly suburbs, proximity to Provo, and the presence of Utah Valley University.
  • C. Canton
    Canton is a small New England town in Hartford County, Connecticut, known for its historic village centers and scenic Farmington River setting.
  • D. Canton
    Canton is a historic waterfront neighborhood in southeast Baltimore, Maryland, known for its revitalized harborfront, rowhouses, and vibrant bar and restaurant scene.
  • E. Canton
    Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af034019848190bd5486521c375325 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a05e634819094bbe145f86d8786 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58e337aec819092020d46ee235fd1 completed March 14, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69b58e9f50948190a40254375e76153c completed March 14, 2026, 4:36 p.m.
Created at: March 9, 2026, 3:46 p.m.