Triple

T38020610
Position Surface form Disambiguated ID Type / Status
Subject John Taolo Gaetsewe District Municipality E948617 entity
Predicate mainMinerals P45236 FINISHED
Object manganese 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: manganese | Statement: [John Taolo Gaetsewe District Municipality, mainMinerals, manganese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainMinerals
Context triple: [John Taolo Gaetsewe District Municipality, mainMinerals, manganese]
  • A. hasMineral chosen
    Indicates that one entity contains, includes, or is composed of a specified mineral.
  • B. typeOfMineralsCovered
    Indicates that one entity specifies or lists the kinds or categories of minerals that are included, addressed, or affected by another entity.
  • C. mineralGroup
    Indicates that one entity is classified as a member or subtype of a particular mineral group defined by shared mineralogical characteristics.
  • D. mineralFamily
    Indicates that one mineral belongs to, or is classified within, the broader family or group represented by another mineral or mineral category.
  • E. isAssociatedWithMineral
    Indicates that there is a relationship or connection between an entity and a specific mineral, such as composition, presence, or relevance.
  • 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_69f76efc10448190aff5fb566b98f952 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc995dc2481908b3bd4217f8101e7 completed May 6, 2026, 11:07 p.m.
PD Predicate disambiguation batch_69fbc8ee04f08190977b7ad70fc85896 completed May 6, 2026, 11:04 p.m.
Created at: May 3, 2026, 4:20 p.m.