Triple

T23012893
Position Surface form Disambiguated ID Type / Status
Subject Andretti Green Racing E572954 entity
Predicate competedIn P149 FINISHED
Object CART NE NERFINISHED

How this triple was built (2 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: CART | Statement: [Andretti Green Racing, competedIn, CART]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CART
Context triple: [Andretti Green Racing, competedIn, CART]
  • A. CART chosen
    CART (Championship Auto Racing Teams) was a premier American open-wheel racing series that operated primarily in the late 20th century, known for its mix of oval, street, and road course events and international driver lineup.
  • B. Carr
    Carr is a common English and Irish surname with multiple notable bearers across fields such as sports, politics, and the arts.
  • C. Carris
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • D. CARTA
    CARTA is the public transit system serving the Charleston, South Carolina metropolitan area with bus and related transportation services.
  • E. Car-Car
    Car-Car is a musical piece or segment featured within the larger work "In Concert."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e300008190bb12c6388a8b3280 completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.