Triple
T22477542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durbanville |
E555672
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Kraaifontein |
—
|
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: Kraaifontein | Statement: [Durbanville, near, Kraaifontein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kraaifontein Context triple: [Durbanville, near, Kraaifontein]
-
A.
Kraaifontein
chosen
Kraaifontein is a residential suburb in the northern outskirts of Cape Town, South Africa, known for its mixed urban and semi-rural character.
-
B.
Diepkloof
Diepkloof is a residential township area within Soweto, Johannesburg, known for its mix of formal housing, vibrant street life, and significant role in South Africa’s urban history.
-
C.
Kromdraai
Kromdraai is a renowned paleoanthropological site in South Africa’s Cradle of Humankind, known for yielding important early hominin fossils.
-
D.
Sesfontein
Sesfontein is a remote settlement in northwestern Namibia known as a gateway to the arid landscapes, wildlife, and Himba communities of the Kunene Region.
-
E.
Hartebeesfontein
Hartebeesfontein is a small mining town in South Africa’s North West Province, historically associated with gold and uranium extraction.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be58ed08190b88706a7cb85616b |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.