Triple

T2775408
Position Surface form Disambiguated ID Type / Status
Subject Cape Province E61556 entity
Predicate hasBorderWith P224 FINISHED
Object Natal Province E151029 NE 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: Natal Province | Statement: [Cape Province, hasBorderWith, Natal Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natal Province
Context triple: [Cape Province, hasBorderWith, 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. Kunene Region
    Kunene Region is a sparsely populated, northwestern region of Namibia known for its rugged landscapes, desert-adapted wildlife, and remote Atlantic coastline.
  • C. Limpopo Province
    Limpopo Province is South Africa’s northernmost province, known for its rich wildlife, cultural diversity, and extensive agricultural and mining activities.
  • D. Tak Province
    Tak Province is a mountainous region in western Thailand known for its diverse ethnic communities, including a significant Karen population, and its forests, waterfalls, and border trade with Myanmar.
  • E. Loja Province
    Loja Province is a region in southern Ecuador known for its mountainous landscapes, cultural heritage, and the city of Loja, a historic center of music and the arts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd7f9570819087f1b1cb59d68586 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc058c8a48190bbd151251678b4ee completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.