Triple

T20071374
Position Surface form Disambiguated ID Type / Status
Subject Intermediate Depression E499745 entity
Predicate crossedBy P416 FINISHED
Object Maipo 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: Maipo River | Statement: [Intermediate Depression, crossedBy, Maipo River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maipo River
Context triple: [Intermediate Depression, crossedBy, Maipo River]
  • A. Maipo River chosen
    The Maipo River is one of central Chile’s most important rivers, flowing from the Andes through the Santiago metropolitan area and supporting agriculture, industry, and water supply in the region.
  • B. Yuanjiang
    Yuanjiang is a city in China known for its regional economic activity and cultural exchanges, including international town-twinning partnerships.
  • C. Ruiru River
    Ruiru River is a tributary watercourse in Kenya that feeds into the Nairobi River within the greater Nairobi river basin.
  • D. Ruili River
    The Ruili River is a transboundary river in Southwest China and Myanmar that serves as an important waterway and natural border in the Dehong region of Yunnan.
  • E. Honghe River
    The Honghe River is a major river in southwestern China and northern Vietnam, known internationally as the Red River and for its significant role in regional agriculture and transportation.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66438633481908710907c48806499 completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.