Triple

T13528527
Position Surface form Disambiguated ID Type / Status
Subject Brazil women's national football team E323071 entity
Predicate hasAllTimeTopScorer P6605 FINISHED
Object Marta E264408 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: Marta | Statement: [Brazil women's national football team, hasAllTimeTopScorer, Marta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marta
Context triple: [Brazil women's national football team, hasAllTimeTopScorer, Marta]
  • A. Marta
    Marta is a feminine given name commonly used in many European and Latin American countries, often considered a variant of the name Martha.
  • B. Marta chosen
    Marta is a legendary Brazilian footballer widely regarded as one of the greatest women’s players of all time.
  • C. Marta
    Marta is a small Italian town in the Lazio region, situated on the southern shore of Lake Bolsena and known for its lakeside scenery and historic center.
  • D. Marcela
    Marcela is one of the given names of Alexia Juliana Marcela Laurentien, a member of the Dutch royal family.
  • E. María
    "María" is a film featuring actress Taryn Power in a significant role.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAllTimeTopScorer
Context triple: [Brazil women's national football team, hasAllTimeTopScorer, Marta]
  • A. rankAllTimeGoals
    Indicates a relationship that orders entities based on the total number of goals they have scored across all time.
  • B. isAmongTopScorers
    Indicates that an entity ranks within the highest-performing group based on a scoring or evaluation metric.
  • C. topScorer chosen
    Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
  • D. topGoalScorerGoals
    Indicates the number of goals scored by the top goal scorer in a given context or competition.
  • E. topScorerPoints
    Indicates the number of points scored by the top-scoring entity in a given context or event.
  • F. None of above.

Provenance (4 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafb8e0cc8190b47f6aeb8ced470e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76ba9fccc81908ec2e33d66aae8ea completed May 3, 2026, 3:37 p.m.
PD Predicate disambiguation batch_69dbae1046c48190b4ee98c6c9cb9d85 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.