Triple

T32304659
Position Surface form Disambiguated ID Type / Status
Subject Intershop E825329 entity
Predicate legalTenderNotAccepted P23559 FINISHED
Object East German mark 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: East German mark | Statement: [Intershop, legalTenderNotAccepted, East German mark]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalTenderNotAccepted
Context triple: [Intershop, legalTenderNotAccepted, East German mark]
  • A. notLegalTenderIn chosen
    Indicates that a form of money is not officially recognized as acceptable payment within a specified jurisdiction or region.
  • 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. legalTenderUse
    Indicates the use or acceptance of something as official legal tender for payment or settlement of obligations.
  • 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. wasLegalTender
    Indicates that something was officially recognized as valid money for settling debts or transactions within a particular jurisdiction and time period.
  • 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_69f349115304819084ee91d345b6c8aa completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fedfd913f48190bdcd450980868d9a completed May 9, 2026, 7:18 a.m.
PD Predicate disambiguation batch_69fedf58c6e88190821a7156054c9086 completed May 9, 2026, 7:16 a.m.
Created at: May 1, 2026, 12:45 a.m.