Triple

T27360376
Position Surface form Disambiguated ID Type / Status
Subject Tazumuddin Upazila E685803 entity
Predicate hasNationalSubdivisionCodeScheme P50774 FINISHED
Object ISO 3166-2:BD 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: ISO 3166-2:BD | Statement: [Tazumuddin Upazila, hasNationalSubdivisionCodeScheme, ISO 3166-2:BD]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNationalSubdivisionCodeScheme
Context triple: [Tazumuddin Upazila, hasNationalSubdivisionCodeScheme, ISO 3166-2:BD]
  • A. hasNationalSubdivisionType
    Indicates that an entity is associated with a specific type or category of national-level administrative subdivision (e.g., state, province, region).
  • B. hasSubdivisionCode
    Indicates that an entity is associated with a specific code identifying one of its internal subdivisions (such as a state, province, or region).
  • C. hasSubdivisionStandard chosen
    Indicates that a governing standard or specification defines how an entity is to be subdivided into smaller parts or units.
  • D. hasSubdivisionCodePart
    Indicates that an entity’s subdivision code includes or is composed of the referenced code segment or component.
  • E. usesNumericSubdivisionCode
    Indicates that one entity employs a numeric subdivision code system to identify or classify parts or regions of another entity.
  • 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_69ef14887c288190931b8431fdbf53c4 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f78c61ed4c8190ad84c918fa9af55a completed May 3, 2026, 5:56 p.m.
PD Predicate disambiguation batch_69f78b8cb3a881909ebaac1b503988c2 completed May 3, 2026, 5:53 p.m.
Created at: April 27, 2026, 11:53 a.m.