Triple
T16206698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R61 route |
E393345
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Cofimvaba
Cofimvaba is a small rural town in South Africa’s Eastern Cape province, known as a local service and administrative center for the surrounding villages.
|
E1202200
|
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: Cofimvaba | Statement: [R61 route, passesThrough, Cofimvaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cofimvaba Context triple: [R61 route, passesThrough, Cofimvaba]
-
A.
Lobamba
Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
-
B.
Manzini
Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
-
C.
Sesheke
Sesheke is a significant town in western Zambia’s Barotseland region, located near the Zambezi River and the border with Namibia.
-
D.
Masandawana
Masandawana is the popular nickname of South African football club Mamelodi Sundowns F.C., one of the country’s most successful and widely supported teams.
-
E.
Gqeberha
Gqeberha is a major coastal city in South Africa’s Eastern Cape, known as an important industrial, commercial, and port hub.
- 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: Cofimvaba Triple: [R61 route, passesThrough, Cofimvaba]
Generated description
Cofimvaba is a small rural town in South Africa’s Eastern Cape province, known as a local service and administrative center for the surrounding villages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cofimvaba Target entity description: Cofimvaba is a small rural town in South Africa’s Eastern Cape province, known as a local service and administrative center for the surrounding villages.
-
A.
Lobamba
Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
-
B.
Manzini
Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
-
C.
Sesheke
Sesheke is a significant town in western Zambia’s Barotseland region, located near the Zambezi River and the border with Namibia.
-
D.
Masandawana
Masandawana is the popular nickname of South African football club Mamelodi Sundowns F.C., one of the country’s most successful and widely supported teams.
-
E.
Gqeberha
Gqeberha is a major coastal city in South Africa’s Eastern Cape, known as an important industrial, commercial, and port hub.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227101a3c819095ef40e50bf66433 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed13b40819096de333872225730 |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a00108fdda88190bf510d04f4cc73f1 |
completed | May 10, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0011559b748190ad406263889514a4 |
completed | May 10, 2026, 5:02 a.m. |
Created at: April 10, 2026, 5:03 a.m.