Triple

T26461754
Position Surface form Disambiguated ID Type / Status
Subject Pierre Gasly E665656 entity
Predicate tookFirstF1WinAtCircuit P99785 FINISHED
Object Monza 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: Monza | Statement: [Pierre Gasly, tookFirstF1WinAtCircuit, Monza]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tookFirstF1WinAtCircuit
Context triple: [Pierre Gasly, tookFirstF1WinAtCircuit, Monza]
  • A. firstFormulaOneWin chosen
    Indicates that the subject achieved their first victory in a Formula One race in relation to the specified event or context.
  • B. firstRaceAtCircuit
    Indicates that the referenced race is the first race ever held at the specified circuit.
  • C. ageAtFirstFormulaOneWin
    Indicates the age a person was when they achieved their first Formula One race victory.
  • D. firstUsedForFormulaOneWorldChampionship
    Indicates that something (typically a circuit, track, or venue) was used for the first time in hosting a Formula One World Championship event.
  • E. firstF1RaceHeld
    Indicates that the subject is the location or venue where the first Formula 1 race was held.
  • F. None of above.

Provenance (3 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_69f612956424819083b0e451342a5811 completed May 2, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69f602d5c8808190a1fdbebd6f0981e8 completed May 2, 2026, 1:57 p.m.
Created at: April 27, 2026, 12:13 a.m.