Triple

T16356317
Position Surface form Disambiguated ID Type / Status
Subject Lozitha Palace E397187 entity
Predicate near P350 FINISHED
Object Matsapha E266562 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: Matsapha | Statement: [Lozitha Palace, near, Matsapha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matsapha
Context triple: [Lozitha Palace, near, Matsapha]
  • A. Matsapha chosen
    Matsapha is an industrial town in central Eswatini known for its manufacturing hub and proximity to the city of Manzini.
  • B. Emakhazeni
    Emakhazeni is a local municipality in South Africa’s Mpumalanga province, known for its highveld landscapes and small towns centered around agriculture and tourism.
  • C. Bophelong
    Bophelong is a township in the Emfuleni area of Gauteng, South Africa, known as a residential community near the industrial city of Vanderbijlpark.
  • D. Thaba Nchu
    Thaba Nchu is a town in South Africa’s Free State province, historically a Tswana settlement and now a satellite town of Bloemfontein.
  • E. Zwelitsha
    Zwelitsha is a township in the Eastern Cape province of South Africa that forms part of the Buffalo City metropolitan area near King William’s Town.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facf67e0819089a23ce6f5642fbe completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00580fec0c8190b7fb73dbc637fb61 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:07 a.m.