Triple

T22193121
Position Surface form Disambiguated ID Type / Status
Subject Polokwane Local Municipality E548480 entity
Predicate containsSettlement P847 FINISHED
Object Dikgale NE NERFINISHED

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: Dikgale | Statement: [Polokwane Local Municipality, containsSettlement, Dikgale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dikgale
Context triple: [Polokwane Local Municipality, containsSettlement, Dikgale]
  • A. Bakwena
    The Bakwena are a major Tswana-speaking ethnic group of Southern Africa, historically known for their influential chieftaincies in present-day Botswana and South Africa.
  • B. Sesheke
    Sesheke is a significant town in western Zambia’s Barotseland region, located near the Zambezi River and the border with Namibia.
  • C. Mogoditshane
    Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
  • D. Otjinene
    Otjinene is a small rural settlement in eastern Namibia that serves as a local center for the surrounding farming communities in the Omaheke Region.
  • E. Mokopane chosen
    Mokopane is a town in South Africa’s Limpopo province known for its mining industry, agricultural activities, and proximity to significant archaeological and natural heritage sites.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae552908190b38c3d765bcfb68a completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:35 p.m.