Triple

T1273621
Position Surface form Disambiguated ID Type / Status
Subject Natal E15763 entity
Predicate formedProvince P25361 FINISHED
Object Natal Province E151029 NE FINISHED

How this triple was built (3 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: Natal Province | Statement: [Natal, formedProvince, Natal Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natal Province
Context triple: [Natal, formedProvince, Natal Province]
  • A. Natal Province chosen
    Natal Province was a former province of South Africa on the country’s eastern coast, centered on the city of Durban and known for its significant Zulu population and history.
  • B. Limpopo Province
    Limpopo Province is South Africa’s northernmost province, known for its rich wildlife, cultural diversity, and extensive agricultural and mining activities.
  • C. Midlands Province
    Midlands Province is a central region of Zimbabwe known for its mining activities and agricultural production, with Gweru as its capital city.
  • D. Orange Free State
    The Orange Free State was a 19th-century independent Boer republic in southern Africa that later became a British colony following the Second Boer War.
  • E. Transvaal
    Transvaal was a former Boer republic and later British colony in what is now northeastern South Africa, central to the conflicts and politics of the late 19th and early 20th centuries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formedProvince
Context triple: [Natal, formedProvince, Natal Province]
  • A. formerProvince
    Indicates that an entity was previously a province of another entity but no longer holds that administrative status.
  • B. joinedAsProvince chosen
    Indicates that an entity became part of a larger political or administrative unit with the status of a province.
  • C. servedProvince
    Indicates that an entity has provided services or held jurisdictional authority over a specified province.
  • D. previousProvince
    Indicates that one province was the immediately preceding administrative region of another in a temporal or historical sequence.
  • E. hasSisterProvince
    Indicates that two provinces are related to each other as sister provinces, typically through a formal partnership or cooperative relationship.
  • F. None of above.

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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c31602b8819087a57e8d390cae7a completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08a3865c819093a6ffd1a8c74e2e completed March 8, 2026, 5:26 a.m.
PD Predicate disambiguation batch_69a4bee0be808190a8ccac6a41851fdd completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:50 p.m.