Triple

T23143243
Position Surface form Disambiguated ID Type / Status
Subject South African National Route network E577516 entity
Predicate includesRoute P4374 FINISHED
Object N72
N72 is a designated national route within South Africa’s numbered highway system.
 E1574438 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: N72 | Statement: [South African National Route network, includesRoute, N72]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N72
Context triple: [South African National Route network, includesRoute, N72]
  • A. N72EX
    N72EX was the Sikorsky S-76B helicopter involved in the January 26, 2020 crash in Calabasas, California that killed Kobe Bryant, his daughter Gianna, and seven others.
  • B. N77
    N77 is a Nokia smartphone from the mid-2000s known for its compact design and multimedia capabilities, including mobile TV support.
  • C. N92
    N92 is a Nokia smartphone model known for its early support of mobile TV and multimedia features.
  • D. N79
    N79 is a Nokia smartphone from the Nseries line, known for its multimedia features and compact candybar design.
  • 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: N72
Triple: [South African National Route network, includesRoute, N72]
Generated description
N72 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: N72
Target entity description: N72 is a designated national route within South Africa’s numbered highway system.
  • A. N72EX
    N72EX was the Sikorsky S-76B helicopter involved in the January 26, 2020 crash in Calabasas, California that killed Kobe Bryant, his daughter Gianna, and seven others.
  • B. N77
    N77 is a Nokia smartphone from the mid-2000s known for its compact design and multimedia capabilities, including mobile TV support.
  • C. N92
    N92 is a Nokia smartphone model known for its early support of mobile TV and multimedia features.
  • D. N79
    N79 is a Nokia smartphone from the Nseries line, known for its multimedia features and compact candybar design.
  • 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.