Triple

T1404783
Position Surface form Disambiguated ID Type / Status
Subject Hungarian forint E31665 entity
Predicate historicalSubunitInUseUntil P8012 FINISHED
Object fillér 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: fillér | Statement: [Hungarian forint, historicalSubunitInUseUntil, fillér]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalSubunitInUseUntil
Context triple: [Hungarian forint, historicalSubunitInUseUntil, fillér]
  • A. historicalSubunit
    Indicates that one entity functioned as a subordinate or component part of another entity during a specific historical period, but is no longer in that role in the present.
  • B. historicalSubunitToUnit chosen
    Indicates that one entity was historically a subunit, subdivision, or component of another larger entity.
  • C. historicallyUsedFor
    Indicates that something served a particular function or purpose at some point in the past, even if it may no longer be used that way now.
  • D. historicalPeriodOfUse
    Indicates the time period during which something was in active use or commonly utilized.
  • E. historicalPeg
    Indicates a relationship where one entity’s value, status, or definition was formerly fixed or tied to another entity in the past.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bf030a388190bc82d30b9233e873 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.