Triple

T10668976
Position Surface form Disambiguated ID Type / Status
Subject Ogooué-Lolo Province E251434 entity
Predicate hasRiver P165 FINISHED
Object Offoué River E278469 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: Offoué River | Statement: [Ogooué-Lolo Province, hasRiver, Offoué River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Offoué River
Context triple: [Ogooué-Lolo Province, hasRiver, Offoué River]
  • A. Ogou River
    The Ogou River is a watercourse in West Africa that feeds into the Mono River system, contributing to the region’s hydrology and local livelihoods.
  • B. Falémé River
    The Falémé River is a significant West African river that flows through Guinea, Mali, and Senegal before joining the Senegal River.
  • C. Ouanne River
    The Ouanne River is a watercourse in north-central France that flows through the Loiret department as a tributary of the Loing River.
  • D. Ngounié River chosen
    The Ngounié River is a significant river in Gabon that drains a large portion of the country's interior before joining the Ogooué River.
  • E. Voueize River
    The Voueize River is a watercourse in central France that flows through the Creuse department, including the town of Chambon-sur-Voueize, before joining the Tardes River.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f861513881909b44c711371086b7 completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69e5099f57ac81909e7734b83ad96a40 completed April 19, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:09 p.m.