Triple
T6642441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lydenburg |
E150617
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object |
Dullstroom
Dullstroom is a small South African town in Mpumalanga known for its cool climate, fly-fishing, and as a popular countryside getaway.
|
E609435
|
NE FINISHED |
How this triple was built (4 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: Dullstroom | Statement: [Lydenburg, nearbyTown, Dullstroom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dullstroom Context triple: [Lydenburg, nearbyTown, Dullstroom]
-
A.
Greytown
Greytown is a small town in KwaZulu-Natal, South Africa, historically notable as the birthplace of Boer general and first South African Prime Minister Louis Botha.
-
B.
Andriesvale
Andriesvale is a place named in honor of the 19th-century Boer leader and Voortrekker general Andries Pretorius.
-
C.
Doornfontein
Doornfontein is an inner-city suburb of Johannesburg, South Africa, known for its mix of historic buildings, industrial areas, and educational institutions.
-
D.
Vanderbijlpark
Vanderbijlpark is an industrial city in South Africa known for its large steel production facilities and location on the Vaal River.
-
E.
Ermelo
Ermelo is a key agricultural and transport hub town located in South Africa’s Mpumalanga province.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dullstroom Triple: [Lydenburg, nearbyTown, Dullstroom]
Generated description
Dullstroom is a small South African town in Mpumalanga known for its cool climate, fly-fishing, and as a popular countryside getaway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dullstroom Target entity description: Dullstroom is a small South African town in Mpumalanga known for its cool climate, fly-fishing, and as a popular countryside getaway.
-
A.
Greytown
Greytown is a small town in KwaZulu-Natal, South Africa, historically notable as the birthplace of Boer general and first South African Prime Minister Louis Botha.
-
B.
Andriesvale
Andriesvale is a place named in honor of the 19th-century Boer leader and Voortrekker general Andries Pretorius.
-
C.
Doornfontein
Doornfontein is an inner-city suburb of Johannesburg, South Africa, known for its mix of historic buildings, industrial areas, and educational institutions.
-
D.
Vanderbijlpark
Vanderbijlpark is an industrial city in South Africa known for its large steel production facilities and location on the Vaal River.
-
E.
Ermelo
Ermelo is a key agricultural and transport hub town located in South Africa’s Mpumalanga province.
- F. None of above. chosen
Provenance (5 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff5da8881909a512c1c82eb882a |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eeef3f7481909929838858225f41 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a1149c8190af55a613eada84b6 |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f17ccd7c8190918e03b114f4f064 |
completed | March 27, 2026, 9:07 p.m. |
Created at: March 27, 2026, 2 p.m.