Triple

T6018246
Position Surface form Disambiguated ID Type / Status
Subject Northeast China Plain E133999 entity
Predicate drainageBasinOf P411 FINISHED
Object Nen River E525805 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: Nen River | Statement: [Northeast China Plain, drainageBasinOf, Nen River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nen River
Context triple: [Northeast China Plain, drainageBasinOf, Nen River]
  • A. Nen River chosen
    The Nen River is a major river in northeastern China that flows through Heilongjiang and Inner Mongolia, playing a key role in regional agriculture, transportation, and ecology.
  • B. Narus River
    The Narus River is a seasonal watercourse in northeastern Uganda that sustains wildlife and vegetation within Kidepo Valley National Park’s otherwise arid landscape.
  • C. Moruya River
    Moruya River is a coastal river in New South Wales, Australia, that flows through the town of Moruya before reaching the Tasman Sea.
  • D. Segama River
    The Segama River is one of the longest and most significant rivers in the Malaysian state of Sabah, known for flowing through rich rainforest and wildlife habitats in eastern Borneo.
  • E. Kanda River
    The Kanda River is a historically significant urban river in Tokyo, Japan, flowing through several central wards and playing an important role in the city’s drainage and flood control systems.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f8589d0819089ae7840461640f6 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9855a13d4819099ee6bf89566291f completed March 29, 2026, 8:02 p.m.
Created at: March 22, 2026, 4:07 p.m.