Triple

T26462140
Position Surface form Disambiguated ID Type / Status
Subject Alexander Albon E665664 entity
Predicate firstF1PodiumGrandPrix P120081 FINISHED
Object 2020 Tuscan Grand Prix
The 2020 Tuscan Grand Prix was a Formula One World Championship race held at Italy’s Mugello Circuit, notable for its multiple red flags, high attrition, and Alexander Albon’s maiden F1 podium.
 E1726731 NE FINISHED

How this triple was built (3 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: 2020 Tuscan Grand Prix | Statement: [Alexander Albon, firstF1PodiumGrandPrix, 2020 Tuscan Grand Prix]
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: 2020 Tuscan Grand Prix
Triple: [Alexander Albon, firstF1PodiumGrandPrix, 2020 Tuscan Grand Prix]
Generated description
The 2020 Tuscan Grand Prix was a Formula One World Championship race held at Italy’s Mugello Circuit, notable for its multiple red flags, high attrition, and Alexander Albon’s maiden F1 podium.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: firstF1PodiumGrandPrix
Context triple: [Alexander Albon, firstF1PodiumGrandPrix, 2020 Tuscan Grand Prix]
  • A. achievedFirstF1PodiumWith
    Indicates that one entity secured their first-ever Formula 1 podium finish while driving for or in association with the other entity.
  • B. firstPodiumDriver chosen
    Indicates that the subject is the driver who achieved their first-ever podium finish in the referenced event or context.
  • C. firstFormulaOneGrandPrix
    Indicates the event at which an entity made its debut participation in a Formula One Grand Prix.
  • D. totalFormulaOnePodiums
    Indicates the total number of times an entity has finished on the podium (top three positions) in Formula One races.
  • E. podiumFinishAtGrandPrix
    Indicates that an entity achieved a top-three (podium) finishing position at a specified Grand Prix event.
  • F. None of above.

Provenance (6 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_69ee883e812c8190a9b5a9cdb87fee5e completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69fe6b7c785c8190aaab06019f571434 completed May 8, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aeddce848190befd9c838123f53a completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11b29dd1a88190924fd07ab6dfa941 completed May 23, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a11b345d944819096ecca996841404f completed May 23, 2026, 2:01 p.m.
PD Predicate disambiguation batch_69fe68edef20819081c77f9607b944dd completed May 8, 2026, 10:51 p.m.
Created at: April 27, 2026, 12:13 a.m.