Triple

T16598968
Position Surface form Disambiguated ID Type / Status
Subject Professional and Amateur Sports Protection Act E403281 entity
Predicate effectOfOverturning P92639 FINISHED
Object allowed states to legalize sports betting 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: allowed states to legalize sports betting | Statement: [Professional and Amateur Sports Protection Act, effectOfOverturning, allowed states to legalize sports betting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: effectOfOverturning
Context triple: [Professional and Amateur Sports Protection Act, effectOfOverturning, allowed states to legalize sports betting]
  • A. overturnsInEffect chosen
    Indicates that one action, decision, or rule reverses and nullifies the current effect or validity of another.
  • B. overturnedLaw
    Indicates that a previously established law has been invalidated or reversed, typically by a higher legal authority or court decision.
  • C. overturnedDecisionOf
    Indicates that one decision reversed, nullified, or set aside a previous decision.
  • D. repealEffect
    Indicates that one legal act or decision nullifies, cancels, or removes the force or applicability of another.
  • E. effectOfAmendments
    Indicates the causal impact or consequences that specific amendments have on something, such as a law, document, or situation.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d74738c81909711654cf38af150 completed April 18, 2026, 10:31 a.m.
PD Predicate disambiguation batch_69e296a7d9d0819088555bca6c936e79 completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:16 a.m.