Triple

T6795053
Position Surface form Disambiguated ID Type / Status
Subject Alto Maipo E156032 entity
Predicate drainage P1559 FINISHED
Object Maipo River basin E24731 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: Maipo River basin | Statement: [Alto Maipo, drainage, Maipo River basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maipo River basin
Context triple: [Alto Maipo, drainage, Maipo River basin]
  • 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. Maipo Valley
    Maipo Valley is one of Chile’s most renowned wine-producing regions, especially famous for its high-quality Cabernet Sauvignon and other red wines.
  • C. Yuanjiang
    Yuanjiang is a city in China known for its regional economic activity and cultural exchanges, including international town-twinning partnerships.
  • D. Yuxi River
    The Yuxi River is a river in eastern China that serves as the primary outlet channel draining water from Chaohu Lake.
  • E. 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.
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2c6e7dc8190b1f33372d047baba completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f94b7388190806939f8e8982d2e completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:15 p.m.