Triple

T27846449
Position Surface form Disambiguated ID Type / Status
Subject Lance Stroll E703834 entity
Predicate madeF1DebutGrandPrix P91549 FINISHED
Object 2017 Australian Grand Prix
The 2017 Australian Grand Prix was the opening round of the 2017 Formula One World Championship, held at Melbourne’s Albert Park Circuit and marking the start of a new era of faster F1 cars.
 E1792697 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: 2017 Australian Grand Prix | Statement: [Lance Stroll, madeF1DebutGrandPrix, 2017 Australian 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: 2017 Australian Grand Prix
Triple: [Lance Stroll, madeF1DebutGrandPrix, 2017 Australian Grand Prix]
Generated description
The 2017 Australian Grand Prix was the opening round of the 2017 Formula One World Championship, held at Melbourne’s Albert Park Circuit and marking the start of a new era of faster F1 cars.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: madeF1DebutGrandPrix
Context triple: [Lance Stroll, madeF1DebutGrandPrix, 2017 Australian Grand Prix]
  • A. madeF1DebutForTeam
    Indicates that a driver’s first-ever Formula 1 race appearance was made while competing for the specified team.
  • B. debutInFormulaOneSeason
    Indicates the Formula One season during which an entity (typically a driver or team) made its first official appearance in the championship.
  • C. madeMotoGPDebut
    Indicates that an entity participated in its first MotoGP race or event.
  • D. racingDebut chosen
    Indicates the event or moment when an entity first participates in an official race or competitive racing activity.
  • E. achievedFirstF1PodiumWith
    Indicates that one entity secured their first-ever Formula 1 podium finish while driving for or in association with the other entity.
  • 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_69ef840d9e3c819093615ebff4ec22be completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f638da9bcc8190b6064afb5bcf17ec completed May 2, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f73989c881909284c77eec14d780 completed May 24, 2026, 1:03 p.m.
NEDg Description generation batch_6a12fb4a4a808190bc0821b2bc754da0 completed May 24, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_6a12fd21fb2c8190b52459bd901c05a0 completed May 24, 2026, 1:29 p.m.
PD Predicate disambiguation batch_69f6318ae6f08190b3f85f9201046a15 completed May 2, 2026, 5:16 p.m.
Created at: April 27, 2026, 6:07 p.m.