Triple

T20442280
Position Surface form Disambiguated ID Type / Status
Subject N13 highway E501424 entity
Predicate hasRouteNumber P1864 FINISHED
Object N13 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: N13 | Statement: [N13 highway, hasRouteNumber, N13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N13
Context triple: [N13 highway, hasRouteNumber, N13]
  • A. N13 chosen
    N13 is a designated national road route identified by the number 13 within a country's highway network.
  • B. N10
    N10 is a numbered national route that intersects with South Africa’s major National Route N2 as part of the country’s primary road network.
  • C. N12
    N12 is a national highway designation used for a major numbered route within a country's road network.
  • D. N14
    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.
  • E. N1
    N1 is a major national highway route, typically serving as a primary north–south or intercity transport corridor in the country’s road network.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f3b794819080745b135a305ba7 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:32 a.m.