Triple

T22178386
Position Surface form Disambiguated ID Type / Status
Subject Economic Development Districts E548104 entity
Predicate legalBasis P125 FINISHED
Object PWEDA NE NERFINISHED

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: PWEDA | Statement: [Economic Development Districts, legalBasis, PWEDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PWEDA
Context triple: [Economic Development Districts, legalBasis, PWEDA]
  • A. PWEDA chosen
    PWEDA is a U.S. federal law enacted in 1965 that established a framework and funding mechanisms to promote economic development and job creation, particularly in distressed communities, through public works and related programs.
  • B. PW
    PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
  • C. PW
    PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
  • D. PW
    PW is the ISO 3166-1 alpha-2 country code for the Pacific island nation of Palau.
  • E. PW
    PW is the abbreviation for "The Professional Web," a term typically referring to the ecosystem of standards, tools, and practices used to build and maintain modern, production-quality websites and web applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6dd5a081908035e81c068d8d5a completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.