Triple

T5810829
Position Surface form Disambiguated ID Type / Status
Subject Nipissing District E128862 entity
Predicate containsRiver P165 FINISHED
Object South River E525885 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: South River | Statement: [Nipissing District, containsRiver, South River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South River
Context triple: [Nipissing District, containsRiver, South River]
  • A. South River chosen
    South River is a small village in Ontario, Canada, known as a gateway to nearby provincial parks and outdoor recreation in the Almaguin Highlands region.
  • B. South River
    South River is a tidal tributary of the Chesapeake Bay in Maryland known for its boating, waterfront communities, and scenic estuarine environment.
  • C. South River
    South River is a waterway in central New Jersey that feeds into the Raritan River and flows through several Middlesex County communities.
  • D. Dan River
    The Dan River is a major tributary in northern Israel that forms one of the primary headwaters of the Jordan River, known for its abundant springs and lush surroundings.
  • E. Dan River
    Dan River is a river in the southeastern United States that flows through Virginia and North Carolina, historically important for powering textile mills and shaping the development of nearby towns.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b538cd08190a7dac378898059b9 completed March 22, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d12459481909eaaf52302686119 completed March 24, 2026, 4:03 a.m.
Created at: March 22, 2026, 3:52 p.m.