Triple

T33333740
Position Surface form Disambiguated ID Type / Status
Subject United States one-dollar bill (1860s series, as Treasury Secretary) E853479 entity
Predicate noteType P109300 FINISHED
Object United States Legal Tender Note 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: United States Legal Tender Note | Statement: [United States one-dollar bill (1860s series, as Treasury Secretary), noteType, United States Legal Tender Note]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: noteType
Context triple: [United States one-dollar bill (1860s series, as Treasury Secretary), noteType, United States Legal Tender Note]
  • A. baseNotes
    Indicates the fundamental or underlying elements, tones, or components that serve as the primary basis for something.
  • B. structureNote
    Indicates a note or annotation that describes or clarifies the structure, organization, or arrangement of something.
  • C. typeOfNotes chosen
    Indicates the specific category or kind of notes associated with an entity or context.
  • D. sideNote
    Indicates that an additional, secondary, or tangential piece of information is attached to something as a side remark or annotation.
  • E. notationType
    Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
  • 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_69f34969614c81909cd99661b0902533 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e3156ea48190b604e414665ef351 completed May 3, 2026, 5:54 a.m.
PD Predicate disambiguation batch_69f6de0b9ba48190887c9eb5d06a2e94 completed May 3, 2026, 5:32 a.m.
Created at: May 1, 2026, 1:34 a.m.