Triple

T17002850
Position Surface form Disambiguated ID Type / Status
Subject Save–Runde river basin E412491 entity
Predicate containsRiver P165 FINISHED
Object Chiredzi River 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: Chiredzi River | Statement: [Save–Runde river basin, containsRiver, Chiredzi River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiredzi River
Context triple: [Save–Runde river basin, containsRiver, Chiredzi River]
  • A. Chiredzi River chosen
    The Chiredzi River is a watercourse in southeastern Zimbabwe that flows through the town of Chiredzi and supports local agriculture and wildlife in the region.
  • B. Mazowe River
    The Mazowe River is a significant river in southern Africa that flows through Zimbabwe and Mozambique, contributing to regional agriculture, hydroelectric power, and the broader Zambezi River system.
  • C. Lukuga River
    The Lukuga River is a major river in central Africa that drains Lake Tanganyika westward toward the Congo River basin.
  • D. Lilongwe River
    The Lilongwe River is a significant river in Malawi that flows through the capital city, Lilongwe, before ultimately draining into Lake Malawi.
  • E. Pungwe River
    The Pungwe River is a major watercourse in southeastern Africa that flows from Zimbabwe into Mozambique, supporting regional ecosystems, agriculture, and hydropower.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37f8ba88190b8d32a1d09b6e6fd completed April 18, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:32 a.m.