Triple
T9122164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majuba Hill |
E218879
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Volksrust |
E779580
|
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: Volksrust | Statement: [Majuba Hill, locatedNear, Volksrust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volksrust Context triple: [Majuba Hill, locatedNear, Volksrust]
-
A.
Volksrust
chosen
Volksrust is a small South African town in Mpumalanga province, historically known as a strategic railway and agricultural center near the KwaZulu-Natal border.
-
B.
Hartenbos
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.
-
C.
Lutzenberg
Lutzenberg is a small municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland.
-
D.
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.
-
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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b46dac8190bde88205c85f596a |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047c55a988190bf2dd63a0d0a2743 |
completed | April 3, 2026, 11:05 p.m. |
Created at: March 30, 2026, 7:17 p.m.