Triple
T14905845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Brak River |
E360126
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Hartenbos |
E287048
|
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: Hartenbos | Statement: [Great Brak River, hasNearbyTown, Hartenbos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartenbos Context triple: [Great Brak River, hasNearbyTown, Hartenbos]
-
A.
Hartenbos
chosen
Hartenbos is a popular coastal holiday town and beach resort in South Africa’s Western Cape, near Mossel Bay, known for its family-friendly atmosphere and seaside tourism.
-
B.
Klaaswaal
Klaaswaal is a village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
C.
Vosloo
Vosloo is a South African surname most notably associated with actor Arnold Vosloo, known for his roles in films such as "The Mummy."
-
D.
Witpoortjie
Witpoortjie is a residential suburb in Roodepoort, South Africa, known for its proximity to the Witpoortjie Falls and the Walter Sisulu National Botanical Garden.
-
E.
Hammanskraal
Hammanskraal is a peri-urban township and surrounding area in northern Gauteng, South Africa, known for its proximity to Pretoria and ongoing challenges with service delivery and water quality.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60cd5588190b1efecc2b220da69 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b7640c8190b463f69fb67fd30a |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:12 a.m.