Triple

T19508268
Position Surface form Disambiguated ID Type / Status
Subject Songwe River E488082 entity
Predicate hasName P744 FINISHED
Object Songwe 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: Songwe River | Statement: [Songwe River, hasName, Songwe River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Songwe River
Context triple: [Songwe River, hasName, Songwe River]
  • A. Songwe River chosen
    The Songwe River is a river in southeastern Africa that forms part of the border between Malawi and Tanzania before flowing into Lake Malawi.
  • B. Songo River
    The Songo River is a waterway in southwestern Maine that connects Long Lake to Sebago Lake and is known for its scenic, recreational boating route.
  • C. Gongola River
    The Gongola River is a major river in northeastern Nigeria that flows through the savanna region before joining the Benue River.
  • D. Ngama River
    The Ngama River is a tributary watercourse in Siberia that feeds into the Lower Tunguska River within the Yenisei River basin of Russia.
  • E. Assa River
    The Assa River is a mountain river in the North Caucasus that flows through parts of Georgia and Russia before joining the Terek River.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351426448190aec1ee26c09faa24 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.