Triple

T5980859
Position Surface form Disambiguated ID Type / Status
Subject Oscar Schmidt E133114 entity
Predicate scoringRecord P67862 FINISHED
Object all-time leading scorer in FIBA competitions LITERAL FINISHED

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: all-time leading scorer in FIBA competitions | Statement: [Oscar Schmidt, scoringRecord, all-time leading scorer in FIBA competitions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scoringRecord
Context triple: [Oscar Schmidt, scoringRecord, all-time leading scorer in FIBA competitions]
  • A. scoring
    Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
  • B. scoringType
    Indicates the method or criteria by which performance, outcomes, or results are evaluated and assigned a score in a given context.
  • C. scoringUnit
    Indicates that one entity functions as a unit or component responsible for scoring or assigning scores to another entity.
  • D. scoredFor
    Indicates that one entity achieved points or a score on behalf of another entity, such as a player scoring for a team.
  • E. isScoreFor
    Indicates that one value represents the score or result associated with a particular entity, event, or performance.
  • F. None of above. chosen

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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc2243c8190bd3488e7b24af985 completed March 22, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69c049dcb3c081908ccc9b4d4b210229 completed March 22, 2026, 7:58 p.m.
PDg Predicate description generation batch_69c04dbefd1081909795fe1a812b991a completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 4:04 p.m.