Triple

T6717619
Position Surface form Disambiguated ID Type / Status
Subject Nkomazi region E153310 entity
Predicate municipalitySeat P15510 FINISHED
Object Malalane E614478 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: Malalane | Statement: [Nkomazi region, municipalitySeat, Malalane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malalane
Context triple: [Nkomazi region, municipalitySeat, Malalane]
  • A. Malalane chosen
    Malalane is a town in northeastern South Africa, known as a key gateway to Kruger National Park and a commercial hub in the Mpumalanga province.
  • B. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • C. Makarora
    Makarora is a small rural settlement in New Zealand’s South Island, known as a gateway to outdoor activities and hiking in the Southern Alps region.
  • D. Maroelap
    Maroelap is the former name of Maloelap Atoll, a coral atoll in the Ratak Chain of the Marshall Islands in the central Pacific Ocean.
  • E. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d12765a48190b485176dc2ffa0fa completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70afa805c819098312fc0d06ec115 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:07 p.m.