Triple

T23143247
Position Surface form Disambiguated ID Type / Status
Subject South African National Route network E577516 entity
Predicate includesRoute P4374 FINISHED
Object N78
N78 is a designated national route within South Africa’s numbered highway system.
 E1574440 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: N78 | Statement: [South African National Route network, includesRoute, N78]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N78
Context triple: [South African National Route network, includesRoute, N78]
  • A. N79
    N79 is a Nokia smartphone from the Nseries line, known for its multimedia features and compact candybar design.
  • B. N8
    N8 is a specific neuraminidase antigenic subtype found on the surface of certain influenza A viruses, used to classify and distinguish viral strains.
  • C. N8
    N8 is a designated national highway route, commonly used to identify a major intercity road in certain countries’ transportation networks.
  • D. N86
    N86 is a Nokia smartphone model known for its dual-slider design and advanced camera features for its time.
  • E. N7
    N7 is the IATA airline designator assigned to Nordic Regional Airlines, a Finnish regional carrier.
  • 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: N78
Triple: [South African National Route network, includesRoute, N78]
Generated description
N78 is a designated national route within South Africa’s numbered highway system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N78
Target entity description: N78 is a designated national route within South Africa’s numbered highway system.
  • A. N79
    N79 is a Nokia smartphone from the Nseries line, known for its multimedia features and compact candybar design.
  • B. N8
    N8 is a specific neuraminidase antigenic subtype found on the surface of certain influenza A viruses, used to classify and distinguish viral strains.
  • C. N8
    N8 is a designated national highway route, commonly used to identify a major intercity road in certain countries’ transportation networks.
  • D. N86
    N86 is a Nokia smartphone model known for its dual-slider design and advanced camera features for its time.
  • E. N7
    N7 is the IATA airline designator assigned to Nordic Regional Airlines, a Finnish regional carrier.
  • 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.