Triple

T11366728
Position Surface form Disambiguated ID Type / Status
Subject Nelson Mandela School of Science and Technology E269227 entity
Predicate locatedIn P40 FINISHED
Object Mvezo E53212 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: Mvezo | Statement: [Nelson Mandela School of Science and Technology, locatedIn, Mvezo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mvezo
Context triple: [Nelson Mandela School of Science and Technology, locatedIn, Mvezo]
  • A. Mvezo chosen
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • B. Miza
    Miza is a dialect of the Moru language spoken by a subset of the Moru people in South Sudan.
  • C. Mekoche
    Mekoche is one of the principal divisions of the Shawnee people, historically recognized as a distinct clan or band within the larger Shawnee nation.
  • D. Mulee'aage
    Mulee'aage is the official presidential palace and primary residence of the President of the Maldives, located in the capital city Malé.
  • E. Maashees
    Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea88558c8190aa18881af51a7b96 completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b7ee695c8190851ee2adb3e38738 completed April 20, 2026, 5:21 a.m.
Created at: April 8, 2026, 9:33 p.m.