Triple

T8061703
Position Surface form Disambiguated ID Type / Status
Subject Angostura River E188137 entity
Predicate mouthOf P1008 FINISHED
Object Maipo River 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 | Statement: [Angostura River, mouthOf, Maipo River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maipo River
Context triple: [Angostura River, mouthOf, 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. Yuxi River
    The Yuxi River is a river in eastern China that serves as the primary outlet channel draining water from Chaohu Lake.
  • E. Nujiang
    Nujiang is an autonomous prefecture in northwestern Yunnan Province, China, known for its dramatic river gorges, ethnic diversity, and relatively remote, mountainous terrain.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fcd7bcc8190b0a629a813846f13 completed March 31, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63da3bd08190894b2f4c977167c0 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:26 p.m.