Triple

T12255751
Position Surface form Disambiguated ID Type / Status
Subject Johannesburg CBD E292094 entity
Predicate nearbyDistrict P18717 FINISHED
Object Doornfontein E593318 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: Doornfontein | Statement: [Johannesburg CBD, nearbyDistrict, Doornfontein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doornfontein
Context triple: [Johannesburg CBD, nearbyDistrict, Doornfontein]
  • A. Doornfontein chosen
    Doornfontein is an inner-city suburb of Johannesburg, South Africa, known for its mix of historic buildings, industrial areas, and educational institutions.
  • B. Vredendal
    Vredendal is a town in South Africa’s Western Cape province, known as an agricultural and wine-producing center in the Olifants River Valley.
  • C. Randfontein
    Randfontein is a gold mining town in Gauteng, South Africa, situated west of Johannesburg on the West Rand.
  • D. Bergvliet
    Bergvliet is a quiet, predominantly residential suburb in Cape Town known for its family-friendly atmosphere, schools, and tree-lined streets.
  • E. Groblersdal
    Groblersdal is a town in South Africa’s Limpopo province known as an important agricultural center, particularly for irrigation-based farming.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc9dd5081908880061d52351850 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685045cc8190836433b5682d8a7a completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:52 p.m.