Triple

T6237171
Position Surface form Disambiguated ID Type / Status
Subject N2 national road E139504 entity
Predicate connectsTo P845 FINISHED
Object Ermelo E176019 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: Ermelo | Statement: [N2 national road, connectsTo, Ermelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ermelo
Context triple: [N2 national road, connectsTo, Ermelo]
  • A. Ermelo chosen
    Ermelo is a key agricultural and transport hub town located in South Africa’s Mpumalanga province.
  • B. Klerksdorp
    Klerksdorp is a historic mining and agricultural city in South Africa’s North West Province, known as one of the country’s oldest European settlements and a regional economic hub.
  • C. Krugersdorp
    Krugersdorp is a historic mining town in South Africa known for its gold deposits and location on the West Rand of the Gauteng province.
  • D. Graskop
    Graskop is a small tourist town in northeastern South Africa known as a gateway to the Panorama Route and nearby natural attractions like waterfalls and the Blyde River Canyon.
  • E. Paarl
    Paarl is a historic town in South Africa renowned for its wine estates, scenic granite rock formations, and role in the development of the Afrikaans language.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063021258819093a9237041816638 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dfbf42c8190842a471db4ff3de0 completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:23 p.m.