Triple

T2611848
Position Surface form Disambiguated ID Type / Status
Subject Krugersdorp E58791 entity
Predicate roadConnectionVia P9041 FINISHED
Object N14 highway E354649 NE FINISHED

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 highway | Statement: [Krugersdorp, roadConnectionVia, N14 highway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N14 highway
Context triple: [Krugersdorp, roadConnectionVia, N14 highway]
  • A. N14 highway chosen
    The N14 highway is a major South African national route connecting Pretoria and Johannesburg with the North West and Northern Cape provinces.
  • B. E6 highway
    The E6 highway is a major north–south European route running through Norway and Sweden, serving as a key arterial road for long-distance travel and freight transport.
  • C. A14 motorway
    The A14 motorway is a major Italian highway running along the Adriatic coast, connecting Bologna with Taranto and serving numerous coastal cities including Pescara.
  • D. M-7 highway
    The M-7 highway is a major federal road in Russia that connects Moscow with key cities in the Volga region and further toward the Ural area, serving as an important eastward transport corridor.
  • E. M10 highway
    The M10 highway is a major Russian federal road that connects Moscow and Saint Petersburg, passing through cities such as Tver.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87b24e48190ad1d4ce7e63c0f3e completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69b360793f908190b0341c003207cc6f completed March 13, 2026, 12:55 a.m.
Created at: March 6, 2026, 9:50 p.m.