Triple

T3919817
Position Surface form Disambiguated ID Type / Status
Subject United States ten-dollar bill (reverse, historical designs) E88929 entity
Predicate depictionSubject P49267 FINISHED
Object seat of the U.S. Department of the Treasury 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: seat of the U.S. Department of the Treasury | Statement: [United States ten-dollar bill (reverse, historical designs), depictionSubject, seat of the U.S. Department of the Treasury]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: depictionSubject
Context triple: [United States ten-dollar bill (reverse, historical designs), depictionSubject, seat of the U.S. Department of the Treasury]
  • A. depictedSubject chosen
    Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
  • B. depictionType
    Indicates the specific manner or style in which something is visually represented or depicted.
  • C. depictionDetail
    Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
  • D. depictionFocus
    Indicates that a depiction (such as an image or illustration) is primarily focused on or centered around a particular entity or subject.
  • E. depictionAction
    Indicates an action in which one entity visually represents, illustrates, or portrays 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef188b474819087680db42b04ecdd completed March 9, 2026, 4:12 p.m.
PD Predicate disambiguation batch_69aee75eedcc81908088ff4dbb8be56b completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:22 p.m.