Triple

T2905366
Position Surface form Disambiguated ID Type / Status
Subject Catawba River E62748 entity
Predicate hasReservoir P1025 FINISHED
Object Lake Norman E139436 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: Lake Norman | Statement: [Catawba River, hasReservoir, Lake Norman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Norman
Context triple: [Catawba River, hasReservoir, Lake Norman]
  • A. Lake Norman chosen
    Lake Norman is a large man-made reservoir in North Carolina known for boating, fishing, and upscale residential communities along its shoreline.
  • B. Lake Horton
    Lake Horton is a reservoir in Fayette County, Georgia, primarily used as a drinking water source and recreational area for activities like fishing and boating.
  • C. Lake Hickory
    Lake Hickory is a man-made reservoir in western North Carolina known for recreation, hydroelectric power generation, and serving as a regional water supply.
  • D. Lake Reidsville
    Lake Reidsville is a recreational reservoir in Reidsville, North Carolina, known for fishing, boating, camping, and outdoor activities.
  • E. Lake Hartwell
    Lake Hartwell is a large man-made reservoir on the Georgia–South Carolina border, popular for boating, fishing, and recreation.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0cee7988190875665145c3cd605 completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b08658407c8190ad7798590dd17ef9 completed March 10, 2026, 9 p.m.
Created at: March 6, 2026, 10:11 p.m.