Triple

T1444964
Position Surface form Disambiguated ID Type / Status
Subject Clean Water Act E31156 entity
Predicate abbreviation P43 FINISHED
Object CWA E31156 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: CWA | Statement: [Clean Water Act, abbreviation, CWA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CWA
Context triple: [Clean Water Act, abbreviation, CWA]
  • A. CWA chosen
    CWA is a major U.S. environmental law that regulates the discharge of pollutants into the nation’s waters and sets water quality standards.
  • B. CWC
    CWC is an abbreviation for Contemporary World Cinema, a program section that showcases recent international films at major film festivals.
  • C. CWC
    CWC is an international treaty that outlaws the development, production, stockpiling, and use of chemical weapons and mandates their destruction under international verification.
  • D. CWC
    CWC is the commonly used abbreviation for the CONCACAF Women's Championship, the premier women's national team football tournament in North America, Central America, and the Caribbean.
  • E. CUWMA
    CUWMA is an academic organization or department associated with George Washington University, likely focused on a specialized area of research or study.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5353fdc819090481cbdd1162929 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08c046b08190a448ba2549dc5e00 completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 8 p.m.