Triple

T16598929
Position Surface form Disambiguated ID Type / Status
Subject Professional and Amateur Sports Protection Act E403281 entity
Predicate shortName P43 FINISHED
Object PASPA E403282 NE 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: PASPA | Statement: [Professional and Amateur Sports Protection Act, shortName, PASPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PASPA
Context triple: [Professional and Amateur Sports Protection Act, shortName, PASPA]
  • A. PASPA chosen
    PASPA was a 1992 U.S. federal law that effectively banned state-authorized sports betting nationwide until it was struck down by the Supreme Court in 2018.
  • B. iPASS
    iPASS is a Taiwanese contactless smart card widely used for public transportation fares and small-value electronic payments.
  • C. PAS
    PAS is a key instrument within the Solar Wind Analyser suite designed to measure the properties of solar wind particles, such as their velocity distribution, density, and temperature.
  • D. PAS
    PAS is Pakistan’s elite civil service cadre responsible for top-tier administrative and policy-making roles in the federal and provincial governments.
  • E. PAS
    PAS is the three-letter IATA airport code assigned to Paros National Airport on the Greek island of Paros.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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.
NED1 Entity disambiguation (via context triple) batch_6a007da8c5048190aaa9350f8fcc8a2e completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:16 a.m.