Triple

T24224371
Position Surface form Disambiguated ID Type / Status
Subject BRM E601550 entity
Predicate wonFirstGrandPrixAsConstructor P99785 FINISHED
Object 1959 Dutch Grand Prix
The 1959 Dutch Grand Prix was a Formula One World Championship race at Zandvoort notable for giving BRM its first victory as a constructor.
 E1625170 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: 1959 Dutch Grand Prix | Statement: [BRM, wonFirstGrandPrixAsConstructor, 1959 Dutch 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: 1959 Dutch Grand Prix
Triple: [BRM, wonFirstGrandPrixAsConstructor, 1959 Dutch Grand Prix]
Generated description
The 1959 Dutch Grand Prix was a Formula One World Championship race at Zandvoort notable for giving BRM its first victory as a constructor.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: wonFirstGrandPrixAsConstructor
Context triple: [BRM, wonFirstGrandPrixAsConstructor, 1959 Dutch Grand Prix]
  • A. grandPrixWin
    Indicates that an entity has achieved victory in a Grand Prix event or race.
  • B. wonGrandPrixFinal
    Indicates that an entity achieved victory in the final round of a Grand Prix competition.
  • C. constructorChampionshipWin
    Indicates that a constructor (team) has won a championship title in a given competition or season.
  • D. firstFormulaOneWin chosen
    Indicates that the subject achieved their first victory in a Formula One race in relation to the specified event or context.
  • E. ageAtFirstFormulaOneWin
    Indicates the age a person was when they achieved their first Formula One race victory.
  • 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_69e29537ca548190b94a37ebe1977caf completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f287ddfecc81909f5396857974bc8c completed April 29, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbd2549848190849e08e001851e17 completed May 22, 2026, 2:19 a.m.
NEDg Description generation batch_6a0fbf33fd488190b40cd0557fd8f9b1 completed May 22, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbf96d0308190923d072b37de6615 completed May 22, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69f1c448abec8190b87cbf9ed419a309 completed April 29, 2026, 8:41 a.m.
Created at: April 18, 2026, midnight