Triple

T22524311
Position Surface form Disambiguated ID Type / Status
Subject Central Highlands of Madagascar E556859 entity
Predicate drainedBy P165 FINISHED
Object Mangoky River basin NE NERFINISHED

How this triple was built (3 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: Mangoky River basin | Statement: [Central Highlands of Madagascar, drainedBy, Mangoky River basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mangoky River basin
Context triple: [Central Highlands of Madagascar, drainedBy, Mangoky River basin]
  • A. Kameng river basin
    The Kameng river basin is a riverine region in Arunachal Pradesh, India, characterized by hilly terrain, rich biodiversity, and the traditional homeland of the Nyishi people.
  • B. Musi basin
    The Musi basin is a major river drainage area in South Sumatra, Indonesia, centered on the Musi River and encompassing the city of Palembang and its surrounding lowland regions.
  • C. Kamchiya River basin
    The Kamchiya River basin is a drainage region in eastern Bulgaria centered around the Kamchiya River, encompassing diverse landscapes and several towns and villages.
  • D. Kofarnihon River basin
    The Kofarnihon River basin is a Central Asian watershed in Tajikistan and neighboring areas that collects runoff from numerous mountain rivers and streams before feeding into the Amu Darya system.
  • E. Letaba River basin
    The Letaba River basin is the drainage area in South Africa and Mozambique that collects and channels water feeding the Letaba River system.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mangoky River basin
Target entity description: The Mangoky River basin is a major river system in southwestern Madagascar that collects waters from the Central Highlands and supports extensive agricultural and ecological zones before emptying into the Mozambique Channel.
  • A. Kameng river basin
    The Kameng river basin is a riverine region in Arunachal Pradesh, India, characterized by hilly terrain, rich biodiversity, and the traditional homeland of the Nyishi people.
  • B. Musi basin
    The Musi basin is a major river drainage area in South Sumatra, Indonesia, centered on the Musi River and encompassing the city of Palembang and its surrounding lowland regions.
  • C. Kamchiya River basin
    The Kamchiya River basin is a drainage region in eastern Bulgaria centered around the Kamchiya River, encompassing diverse landscapes and several towns and villages.
  • D. Kofarnihon River basin
    The Kofarnihon River basin is a Central Asian watershed in Tajikistan and neighboring areas that collects runoff from numerous mountain rivers and streams before feeding into the Amu Darya system.
  • E. Letaba River basin
    The Letaba River basin is the drainage area in South Africa and Mozambique that collects and channels water feeding the Letaba River system.
  • F. None of above. chosen

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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e34590c81909e4ed1c95f13a199 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:51 p.m.