Triple

T23214000
Position Surface form Disambiguated ID Type / Status
Subject N1 national road E580680 entity
Predicate passesThrough P225 FINISHED
Object Musina 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: Musina | Statement: [N1 national road, passesThrough, Musina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musina
Context triple: [N1 national road, passesThrough, Musina]
  • A. Musina chosen
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • B. Tecka
    Tecka is a small town in the Chubut Province of Argentine Patagonia, serving as a local hub along regional road networks.
  • C. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • D. Driva
    Driva is a river in Norway’s Møre og Romsdal county, known for flowing through the Sunndal valley and past the village of Sunndalsøra.
  • E. Otomí
    Otomí is an indigenous people of central Mexico whose Oto-Manguean language and rich cultural traditions have persisted since pre-Hispanic times.
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f19163b9b88190a68fa6d08d37bdb7 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:07 p.m.