Triple

T208933
Position Surface form Disambiguated ID Type / Status
Subject Civil Rights Act of 1957 E4669 entity
Predicate shortcomings P9893 FINISHED
Object limited enforcement mechanisms 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: limited enforcement mechanisms | Statement: [Civil Rights Act of 1957, shortcomings, limited enforcement mechanisms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shortcomings
Context triple: [Civil Rights Act of 1957, shortcomings, limited enforcement mechanisms]
  • A. disadvantage
    Indicates that one entity is in a less favorable, weaker, or hindered position relative to another in a given context.
  • B. issues
    Indicates that an entity formally produces, releases, or distributes something, such as a document, order, or resource, making it officially available.
  • C. criticizedFor
    Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
  • D. neglects
    Indicates a relationship where one party fails to give appropriate attention, care, or consideration to another party or responsibility.
  • E. highlights
    Indicates that one entity draws special attention to, emphasizes, or visually marks another entity as important or noteworthy.
  • F. None of above. chosen

Provenance (4 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25e8b9b908190b69a3f0594b95f7e completed Feb. 28, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69a25b4e3c2881908d83e8218aa9f2d9 completed Feb. 28, 2026, 3:04 a.m.
PDg Predicate description generation batch_69a25e8ade9481908d5570f6a255ee50 completed Feb. 28, 2026, 3:18 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.