Triple

T23143207
Position Surface form Disambiguated ID Type / Status
Subject South African National Route network E577516 entity
Predicate includesRoute P4374 FINISHED
Object N17
N17 is a major national highway in South Africa that connects Johannesburg with towns in Mpumalanga and serves as an important route toward the border with Eswatini.
 E1574185 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: N17 | Statement: [South African National Route network, includesRoute, N17]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N17
Context triple: [South African National Route network, includesRoute, N17]
  • A. N717
    N717 is a regional road in Belgium that serves as a connector route at the Lummen road junction.
  • B. N14
    N14 is a major national route in South Africa that links Johannesburg with the North West and Northern Cape provinces, serving as an important regional transport corridor.
  • C. N271
    N271 is a regional road in the Netherlands that runs through the province of Limburg, connecting several towns and villages along the Maas river.
  • D. N277
    N277 is a designated road or route that provides vehicular access to the Mill.
  • E. N141
    N141 is a French national highway that serves as a major regional route connecting several towns and cities, including Guéret, in central France.
  • 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: N17
Triple: [South African National Route network, includesRoute, N17]
Generated description
N17 is a major national highway in South Africa that connects Johannesburg with towns in Mpumalanga and serves as an important route toward the border with Eswatini.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N17
Target entity description: N17 is a major national highway in South Africa that connects Johannesburg with towns in Mpumalanga and serves as an important route toward the border with Eswatini.
  • A. N717
    N717 is a regional road in Belgium that serves as a connector route at the Lummen road junction.
  • B. N14
    N14 is a major national route in South Africa that links Johannesburg with the North West and Northern Cape provinces, serving as an important regional transport corridor.
  • C. N271
    N271 is a regional road in the Netherlands that runs through the province of Limburg, connecting several towns and villages along the Maas river.
  • D. N277
    N277 is a designated road or route that provides vehicular access to the Mill.
  • E. N141
    N141 is a French national highway that serves as a major regional route connecting several towns and cities, including Guéret, in central France.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecc3710819088ac5d72dad0459a completed April 29, 2026, 4:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c308fd60c8190afd340bd74423220 completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c32dc646081909d3c36d089d61c00 completed May 19, 2026, 9:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0c35636e908190ae11d96deb15e1f5 completed May 19, 2026, 10:03 a.m.
Created at: April 17, 2026, 4 p.m.