Triple

T14304233
Position Surface form Disambiguated ID Type / Status
Subject N14 highway E354649 entity
Predicate connects P390 FINISHED
Object Vryburg E926892 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: Vryburg | Statement: [N14 highway, connects, Vryburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vryburg
Context triple: [N14 highway, connects, Vryburg]
  • A. Vryburg chosen
    Vryburg is a large agricultural and commercial town in South Africa’s North West Province, historically known as a key cattle-farming and transport hub.
  • B. Graaff-Reinet
    Graaff-Reinet is a historic town in South Africa’s Eastern Cape, known as one of the country’s oldest settlements and a center of early Afrikaner history.
  • C. Winburg
    Winburg is a small historic town in South Africa’s Free State province, known as one of the country’s oldest Voortrekker settlements.
  • D. Colesberg
    Colesberg is a small historic town in South Africa’s Northern Cape, known as a key stopover on the N1 highway and a gateway to the semi-arid Karoo region.
  • E. Wolmaransstad
    Wolmaransstad is a small agricultural and mining town in South Africa’s North West province, situated on a major national transport route.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85afabe48190926d6098047f4bcf completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a3479088190929ab4b9d218a608 completed May 8, 2026, 5:52 a.m.
Created at: April 10, 2026, 1:12 a.m.