Triple

T5066070
Position Surface form Disambiguated ID Type / Status
Subject Fuling Tomb E114146 entity
Predicate near P350 FINISHED
Object Hun River E248860 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: Hun River | Statement: [Fuling Tomb, near, Hun River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hun River
Context triple: [Fuling Tomb, near, Hun River]
  • A. Hun River chosen
    The Hun River is a significant river in northeastern China that flows through Liaoning Province and the city of Shenyang, playing an important role in the region’s ecology, water supply, and urban landscape.
  • B. Emme River
    The Emme River is a Swiss river flowing through the Emmental region and the Swiss Plateau, known for its picturesque valleys and historical flooding events.
  • C. Rapid River
    Rapid River is a watercourse that serves as one of the tributary rivers flowing into Lake of the Woods in North America.
  • D. Hog River
    Hog River is the former name of the Park River, a historically significant waterway that flows through Hartford, Connecticut, much of which now runs in underground conduits.
  • E. Eerste River
    Eerste River is a prominent waterway in South Africa’s Western Cape that flows through the Stellenbosch region and supports its agriculture and ecosystems.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749aceac8190817278266308fd64 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a127b0e48190880ee84f45bed359 completed March 23, 2026, 2:10 a.m.
Created at: March 20, 2026, 1:38 p.m.