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.