Triple

T3964394
Position Surface form Disambiguated ID Type / Status
Subject Southeastern Zimbabwe E85979 entity
Predicate hasRiver P165 FINISHED
Object Runde River
Runde River is a major river in southeastern Zimbabwe that flows through the Lowveld region and into the Save River system.
 E618528 NE FINISHED

How this triple was built (4 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: Runde River | Statement: [Southeastern Zimbabwe, hasRiver, Runde River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runde River
Context triple: [Southeastern Zimbabwe, hasRiver, Runde River]
  • A. Tecka River
    The Tecka River is a Patagonian watercourse in Argentina that feeds into the larger Chubut River system.
  • B. Siang River
    The Siang River is a major river in northeastern India that forms the upper course of the Brahmaputra as it flows from Tibet into Arunachal Pradesh.
  • C. Nyari River
    The Nyari River is a regional river in the Indian state of Gujarat that flows through and helps sustain the city of Rajkot.
  • D. Osyotr River
    The Osyotr River is a river in western Russia that flows through the Moscow and Tula regions before joining the Oka River.
  • E. Yeso River
    The Yeso River is a significant Andean watercourse in central Chile that feeds into the Maipo River and helps supply water to the Santiago metropolitan region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Runde River
Triple: [Southeastern Zimbabwe, hasRiver, Runde River]
Generated description
Runde River is a major river in southeastern Zimbabwe that flows through the Lowveld region and into the Save River system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runde River
Target entity description: Runde River is a major river in southeastern Zimbabwe that flows through the Lowveld region and into the Save River system.
  • A. Tecka River
    The Tecka River is a Patagonian watercourse in Argentina that feeds into the larger Chubut River system.
  • B. Siang River
    The Siang River is a major river in northeastern India that forms the upper course of the Brahmaputra as it flows from Tibet into Arunachal Pradesh.
  • C. Nyari River
    The Nyari River is a regional river in the Indian state of Gujarat that flows through and helps sustain the city of Rajkot.
  • D. Osyotr River
    The Osyotr River is a river in western Russia that flows through the Moscow and Tula regions before joining the Oka River.
  • E. Yeso River
    The Yeso River is a significant Andean watercourse in central Chile that feeds into the Maipo River and helps supply water to the Santiago metropolitan region.
  • F. None of above. chosen

Provenance (5 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef97326888190bbfe15b218e3112e completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712687f408190ac948dcc990e8e08 completed March 27, 2026, 11:27 p.m.
NEDg Description generation batch_69c7132017a881909a8f4a8d4635d53f completed March 27, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69c715cc0c9c8190aae641eaffa5bd7b completed March 27, 2026, 11:42 p.m.
Created at: March 9, 2026, 3:31 p.m.