Triple

T21524802
Position Surface form Disambiguated ID Type / Status
Subject Gran Pajatén E531065 entity
Predicate locatedNear P294 FINISHED
Object Abiseo 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: Abiseo River basin | Statement: [Gran Pajatén, locatedNear, Abiseo River basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abiseo River basin
Context triple: [Gran Pajatén, locatedNear, Abiseo River basin]
  • A. Incomati River basin
    The Incomati River basin is a transboundary river system in southern Africa that drains parts of South Africa, Eswatini, and Mozambique into the Indian Ocean, supporting diverse ecosystems and extensive agricultural activities.
  • B. Vomano River basin
    The Vomano River basin is a mountainous watershed in central Italy that drains the eastern slopes of the Monti della Laga before flowing toward the Adriatic Sea.
  • C. Musi River basin
    The Musi River basin is a river drainage area in the Deccan region of India that encompasses Hyderabad and its surrounding water bodies and catchments.
  • D. 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.
  • E. Choapa River basin
    The Choapa River basin is a river drainage system in Chile’s Coquimbo Region, encompassing the Choapa River and its tributaries and supporting local agriculture and settlements in a semi-arid environment.
  • 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: Abiseo River basin
Target entity description: The Abiseo River basin is a remote Andean watershed in northern Peru known for its rich biodiversity and proximity to important pre-Columbian archaeological sites within the Río Abiseo National Park.
  • A. Incomati River basin
    The Incomati River basin is a transboundary river system in southern Africa that drains parts of South Africa, Eswatini, and Mozambique into the Indian Ocean, supporting diverse ecosystems and extensive agricultural activities.
  • B. Vomano River basin
    The Vomano River basin is a mountainous watershed in central Italy that drains the eastern slopes of the Monti della Laga before flowing toward the Adriatic Sea.
  • C. Musi River basin
    The Musi River basin is a river drainage area in the Deccan region of India that encompasses Hyderabad and its surrounding water bodies and catchments.
  • D. 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.
  • E. Choapa River basin
    The Choapa River basin is a river drainage system in Chile’s Coquimbo Region, encompassing the Choapa River and its tributaries and supporting local agriculture and settlements in a semi-arid environment.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee885073888190ae49f967f72acbf8 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.