Triple

T13054088
Position Surface form Disambiguated ID Type / Status
Subject Rusape E327523 entity
Predicate hasNearbyRiver P8567 FINISHED
Object Rusape River E1089440 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: Rusape River | Statement: [Rusape, hasNearbyRiver, Rusape River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rusape River
Context triple: [Rusape, hasNearbyRiver, Rusape River]
  • A. Mashavera River
    The Mashavera River is a river in southern Georgia that flows through the Kvemo Kartli region and passes by the historic town and archaeological site of Dmanisi.
  • B. Senqunyane River
    The Senqunyane River is a significant river in Lesotho that flows through mountainous terrain and contributes to the upper reaches of the Orange–Senqu river system.
  • C. Nyamuziwa River chosen
    Nyamuziwa River is a river in eastern Zimbabwe that feeds the spectacular Mutarazi Falls, one of the country’s highest waterfalls in the Eastern Highlands.
  • D. Funza River
    The Funza River is a significant waterway in central Colombia that drains the Bogotá savanna and forms part of the upper basin of the Magdalena River.
  • E. Likhubula River
    Likhubula River is a mountain river in southern Malawi known for flowing down the slopes of Mount Mulanje, creating waterfalls and providing water to nearby communities and ecosystems.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bb52d88190b5be12000e27a2c9 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46686c288190a51847f86785568a completed May 8, 2026, 2:11 a.m.
Created at: April 9, 2026, 8:58 p.m.