Triple

T19944626
Position Surface form Disambiguated ID Type / Status
Subject Truth in Savings Act E479388 entity
Predicate typeOfDisclosure P137949 FINISHED
Object pre-account-opening disclosures 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: pre-account-opening disclosures | Statement: [Truth in Savings Act, typeOfDisclosure, pre-account-opening disclosures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfDisclosure
Context triple: [Truth in Savings Act, typeOfDisclosure, pre-account-opening disclosures]
  • A. disclosureLevel
    Indicates the extent or degree to which information is revealed, shared, or made accessible in a given context.
  • B. discloses
    Indicates that one entity reveals, makes known, or provides previously non-public information to another entity or to the public.
  • C. typeOfDiscrimination
    Indicates a relationship where one party is subjected to a specific kind or category of discriminatory treatment by another party or within a given context.
  • D. treatmentDisclosure
    Indicates that information about a treatment (such as its nature, risks, benefits, or alternatives) is revealed or communicated to another party.
  • E. requiresSourceDisclosure
    Indicates that performing or using something is contingent on revealing or making known the origin or source from which it was derived.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6654f481908089e1d66e17e024 completed April 20, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69e537f47c508190853c4e009c6b5566 completed April 19, 2026, 8:15 p.m.
PDg Predicate description generation batch_69e543c42c688190a22f4d31ec692377 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 1:54 p.m.