Triple

T13543287
Position Surface form Disambiguated ID Type / Status
Subject Glen Austin E323444 entity
Predicate nearbyPlace P2064 FINISHED
Object Randjespark E323443 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: Randjespark | Statement: [Glen Austin, nearbyPlace, Randjespark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randjespark
Context triple: [Glen Austin, nearbyPlace, Randjespark]
  • A. Randjespark chosen
    Randjespark is a commercial and residential suburb in the Midrand area of Johannesburg, South Africa, known for its business parks and proximity to major transport routes.
  • B. Bothasig
    Bothasig is a residential suburb in the northern part of Cape Town, South Africa.
  • C. Roodepoort
    Roodepoort is a suburban city on the western side of Johannesburg in South Africa, known for its residential areas, shopping centers, and proximity to the Witwatersrand hills.
  • D. Hartbeespoort
    Hartbeespoort is a town and popular recreational area in North West Province, South Africa, known for its scenic setting around the Hartbeespoort Dam and views of the Magaliesberg mountains.
  • E. Odendaalsrus
    Odendaalsrus is a gold-mining town in South Africa’s Free State province, historically significant as one of the country’s early goldfields settlements.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafda36248190acabde65a88c5471 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd54f5323c8190aa239bad461b0857 completed May 8, 2026, 3:13 a.m.
Created at: April 9, 2026, 9:45 p.m.