Triple

T35917924
Position Surface form Disambiguated ID Type / Status
Subject Flowing Hair dollar E1038796 entity
Predicate legalTenderAtIssue P200811 FINISHED
Object yes 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: yes | Statement: [Flowing Hair dollar, legalTenderAtIssue, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalTenderAtIssue
Context triple: [Flowing Hair dollar, legalTenderAtIssue, yes]
  • A. legalTenderUse
    Indicates the use or acceptance of something as official legal tender for payment or settlement of obligations.
  • B. legalTenderSupported
    Indicates that a given currency or payment method is officially recognized and accepted as legal tender within a specified jurisdiction or context.
  • C. wasLegalTender
    Indicates that something was officially recognized as valid money for settling debts or transactions within a particular jurisdiction and time period.
  • D. isLegalTenderFor
    Indicates that a particular currency or form of money is officially recognized by a governing authority as valid payment for debts and financial transactions within a specified jurisdiction.
  • E. legalTenderInSuccessorState
    Indicates that a form of money continues to be officially accepted as legal tender within a state that has succeeded another state.
  • 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_69f76e2320748190b7f5c4750d0cd0d3 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ffada24d188190a576a02dc280a7fb completed May 9, 2026, 9:56 p.m.
PD Predicate disambiguation batch_69ffad46d6ac819081772f408b1389d5 completed May 9, 2026, 9:55 p.m.
PDg Predicate description generation batch_69ffada149748190916bfd9b87356342 completed May 9, 2026, 9:56 p.m.
Created at: May 3, 2026, 4:07 p.m.