Triple

T5839703
Position Surface form Disambiguated ID Type / Status
Subject MNT E129559 entity
Predicate statusOfSubunit P66640 FINISHED
Object not in active circulation 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: not in active circulation | Statement: [MNT, statusOfSubunit, not in active circulation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusOfSubunit
Context triple: [MNT, statusOfSubunit, not in active circulation]
  • A. subunitOf
    Indicates that one entity functions as a component or smaller part within the structure or organization of another, larger entity.
  • B. subclassificationStatus
    Indicates the classification state or category assigned to a subclass within a broader classification system.
  • C. hasSubregionStatus
    Indicates that one region holds an official or defined status as a subregion within a larger geographic or administrative area.
  • D. subunitType
    Indicates that one entity is a specific kind or classification of subunit within the structure or composition of another entity.
  • E. subsidiaryUnit
    Indicates that one organizational unit functions as a subordinate or dependent division of another, higher-level unit.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03c9239e08190bff7ef2bd6d21ae0 completed March 22, 2026, 7:01 p.m.
PD Predicate disambiguation batch_69c0334412388190bc594794ec5754f9 completed March 22, 2026, 6:21 p.m.
PDg Predicate description generation batch_69c03c8d579081909d7b97fc9014b5d7 completed March 22, 2026, 7:01 p.m.
Created at: March 22, 2026, 3:54 p.m.