Triple

T23143206
Position Surface form Disambiguated ID Type / Status
Subject South African National Route network E577516 entity
Predicate includesRoute P4374 FINISHED
Object N14 NE NERFINISHED

How this triple was built (2 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: N14 | Statement: [South African National Route network, includesRoute, N14]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N14
Context triple: [South African National Route network, includesRoute, N14]
  • A. N14 chosen
    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.
  • B. N141
    N141 is a French national highway that serves as a major regional route connecting several towns and cities, including Guéret, in central France.
  • C. N104
    N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
  • D. N13
    N13 is a designated national road route identified by the number 13 within a country's highway network.
  • E. N214
    N214 is a regional road in the Netherlands that provides a key connection to the village of Hoornaar and surrounding areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 17, 2026, 4 p.m.