Triple

T23143198
Position Surface form Disambiguated ID Type / Status
Subject South African National Route network E577516 entity
Predicate includesRoute P4374 FINISHED
Object N6 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: N6 | Statement: [South African National Route network, includesRoute, N6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N6
Context triple: [South African National Route network, includesRoute, N6]
  • A. N6 chosen
    N6 is a national route in South Africa that connects inland regions to the coastal city of East London, serving as a key north–south transport corridor.
  • B. N60
    N60 is a major regional road in Belgium that connects several towns and provides important access to the national road network.
  • C. N7
    N7 is the IATA airline designator assigned to Nordic Regional Airlines, a Finnish regional carrier.
  • D. N7
    N7 is a major national route in South Africa that runs roughly north–south, linking Cape Town with the Namibian border and serving as a key regional transport corridor.
  • E. N8
    N8 is a designated national highway route, commonly used to identify a major intercity road in certain countries’ transportation networks.
  • 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.