Triple

T9509829
Position Surface form Disambiguated ID Type / Status
Subject Ugu District Municipality E229363 entity
Predicate includesTown P847 FINISHED
Object Uvongo E780775 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: Uvongo | Statement: [Ugu District Municipality, includesTown, Uvongo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uvongo
Context triple: [Ugu District Municipality, includesTown, Uvongo]
  • A. Uvongo chosen
    Uvongo is a coastal holiday town in KwaZulu-Natal, South Africa, known for its scenic beach, lagoon, and popular family-friendly tourism.
  • B. Nomvula
    "Nomvula" is a popular album and title track by South African Afro-fusion band Freshlyground that helped bring them widespread recognition.
  • C. Zvongombe
    Zvongombe was the principal urban and political center of the Mutapa Kingdom in what is now northern Zimbabwe.
  • D. Hlengwe
    Hlengwe is a regional dialect of the Tsonga language spoken by Tsonga communities in parts of southern Africa.
  • E. Bulange
    Bulange is the historic administrative building of the Buganda Kingdom in Kampala, Uganda, serving as the seat of the Lukiiko (parliament) and the Kabaka’s offices.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9857058881909e0a40e2024a7b4c completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c1092bc8190917d71e2b6f62c25 completed April 4, 2026, 5:36 p.m.
Created at: March 30, 2026, 7:58 p.m.