Triple

T23143234
Position Surface form Disambiguated ID Type / Status
Subject South African National Route network E577516 entity
Predicate includesRoute P4374 FINISHED
Object N50
N50 is a designated national route within South Africa’s numbered highway system, forming part of the country’s primary road network.
 E1574432 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: N50 | Statement: [South African National Route network, includesRoute, N50]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N50
Context triple: [South African National Route network, includesRoute, N50]
  • A. N-50
    N-50 is a national highway in Pakistan that serves as a key route connecting parts of Khyber Pakhtunkhwa and Balochistan, facilitating regional trade and travel.
  • B. N-5
    N-5 is a major national highway in Pakistan that forms a key part of the country’s primary north–south road network.
  • C. N-55
    N-55 is a major national highway in Pakistan that runs along the Indus River, connecting key cities in the country’s north–south transport corridor.
  • D. N59
    N59 is a regional road in the Netherlands that connects the island of Schouwen-Duiveland, including the town of Zierikzee, with the broader Dutch road network.
  • E. N5T
    N5T is the common abbreviation for Nordic Five Tech, an alliance of leading technical universities in the Nordic region.
  • 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: N50
Triple: [South African National Route network, includesRoute, N50]
Generated description
N50 is a designated national route within South Africa’s numbered highway system, forming part of the country’s primary road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N50
Target entity description: N50 is a designated national route within South Africa’s numbered highway system, forming part of the country’s primary road network.
  • A. N-50
    N-50 is a national highway in Pakistan that serves as a key route connecting parts of Khyber Pakhtunkhwa and Balochistan, facilitating regional trade and travel.
  • B. N-5
    N-5 is a major national highway in Pakistan that forms a key part of the country’s primary north–south road network.
  • C. N-55
    N-55 is a major national highway in Pakistan that runs along the Indus River, connecting key cities in the country’s north–south transport corridor.
  • D. N59
    N59 is a regional road in the Netherlands that connects the island of Schouwen-Duiveland, including the town of Zierikzee, with the broader Dutch road network.
  • E. N5T
    N5T is the common abbreviation for Nordic Five Tech, an alliance of leading technical universities in the Nordic region.
  • 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_6a0c3091b7b8819083d7fd257275bdd0 completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c317030c481908991f978ca15085e completed May 19, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_6a0c322595308190b33c9e09fb26c2cc completed May 19, 2026, 9:49 a.m.
Created at: April 17, 2026, 4 p.m.