Triple

T240983
Position Surface form Disambiguated ID Type / Status
Subject Clean Water Act E4930 entity
Predicate section303Subject P450 FINISHED
Object water quality standards and total maximum daily loads 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: water quality standards and total maximum daily loads | Statement: [Clean Water Act, section303Subject, water quality standards and total maximum daily loads]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: section303Subject
Context triple: [Clean Water Act, section303Subject, water quality standards and total maximum daily loads]
  • A. subjectMatter chosen
    Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
  • B. section
    Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
  • C. subjectCanBe
    Indicates that the subject has the potential or capability to assume, become, or be classified as the specified object or state.
  • D. subjectOfWork
    Indicates that one entity is the main topic, focus, or theme that a particular work (such as a book, article, or artwork) is about.
  • E. isSubjectTo
    Indicates that one entity is governed, affected, or constrained by the authority, rules, conditions, or influence of another entity.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d35aa288190966b6e15af1525cb completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b60ad308190b12f119960a8bde7 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.