Triple

T4298251
Position Surface form Disambiguated ID Type / Status
Subject Western Virginia E99768 entity
Predicate drainedBy P165 FINISHED
Object New River E134187 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: New River | Statement: [Western Virginia, drainedBy, New River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: New River
Context triple: [Western Virginia, drainedBy, New River]
  • A. New River chosen
    The New River is one of North America’s oldest rivers, renowned for its deep gorge, whitewater rapids, and scenic landscapes as it flows through the Appalachian region.
  • B. New River
    The New River is a highly polluted waterway flowing from Mexico into Southern California, ultimately draining into the Salton Sea.
  • C. New River
    New River is a major waterway in northern Belize that flows through wetlands and supports transportation, wildlife, and nearby communities such as Orange Walk Town.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509bff808190a86fade7ccfc3611 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43821d5c8190b50e3eadabf2845b completed March 21, 2026, 7:06 a.m.
Created at: March 12, 2026, 11:08 p.m.