Triple

T10304586
Position Surface form Disambiguated ID Type / Status
Subject Ostmark E241717 entity
Predicate banknotesIssued P2871 FINISHED
Object 1 Mark 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: 1 Mark | Statement: [Ostmark, banknotesIssued, 1 Mark]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: banknotesIssued
Context triple: [Ostmark, banknotesIssued, 1 Mark]
  • A. banknotesIssuedIn
    Indicates the relationship where a specific set of banknotes was officially issued or put into circulation within a particular country, region, or jurisdiction.
  • B. banknoteDenomination chosen
    Indicates the specific face value assigned to a banknote in a given currency.
  • C. typeOfBanknotes
    Indicates a relationship where one entity specifies the kind or category of banknotes associated with another entity.
  • D. hasBanknotesIssuedBy
    Indicates that one entity possesses or contains banknotes that were issued by another entity.
  • E. issuesBanknotes
    Indicates that an entity (typically a central bank or monetary authority) produces and puts banknotes into official circulation as legal tender.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ccb7ec8190a538cf279e48116e completed April 7, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69d4d1f4f354819080b4ed4bc61bdff6 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:45 a.m.