Triple

T11893510
Position Surface form Disambiguated ID Type / Status
Subject Dérbi Paulista E282976 entity
Predicate hasMatchOutcomeVariability P13845 FINISHED
Object played in league 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: played in league competitions | Statement: [Dérbi Paulista, hasMatchOutcomeVariability, played in league competitions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMatchOutcomeVariability
Context triple: [Dérbi Paulista, hasMatchOutcomeVariability, played in league competitions]
  • A. matchResultInfluenced
    Indicates that the outcome of a match was affected or altered by a specified factor, event, or condition.
  • B. resultOfMatch
    Indicates that one entity is the outcome or product produced by a particular match or matching event involving another entity.
  • C. hasVariability chosen
    Indicates that an entity exhibits variation or fluctuation in its state, value, or characteristics over time or across instances.
  • D. matchOf
    Indicates that one entity is a specific match, counterpart, or corresponding instance of another entity within a defined context or set.
  • E. matchupFrequency
    Indicates how often a particular pair or set of entities are matched or paired against each other within a given context or timeframe.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1172988190a2c13d37220f2f93 completed April 10, 2026, 11:20 a.m.
PD Predicate disambiguation batch_69d8bb2fca4481909893f3428b0871ac completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.