Triple

T6390913
Position Surface form Disambiguated ID Type / Status
Subject Blount County E143822 entity
Predicate contains P35 FINISHED
Object Little River E691581 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: Little River | Statement: [Blount County, contains, Little River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little River
Context triple: [Blount County, contains, Little River]
  • A. Little River
    Little River is a small waterway flowing through the town of Redding in Fairfield County, Connecticut.
  • B. Little River
    Little River is a scenic waterway in eastern Tennessee known for flowing through the Great Smoky Mountains and offering popular spots for fishing, tubing, and outdoor recreation.
  • C. Little River
    Little River is a small coastal waterway in Massachusetts known for surrounding Monomoscoy Island and connecting to the region’s tidal estuaries.
  • D. Little River
    Little River is a minor watercourse in New South Wales, Australia, that forms part of the Tumut River catchment within the Murray–Darling Basin.
  • E. Little River chosen
    Little River is a scenic river in northeastern Alabama known for carving the deep Little River Canyon and offering popular opportunities for hiking, paddling, and sightseeing.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687c7fdc819099cbbb937dec215e completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d74fa545b8819092809c605542476a completed April 9, 2026, 7:05 a.m.
Created at: March 22, 2026, 4:34 p.m.