Triple

T10297780
Position Surface form Disambiguated ID Type / Status
Subject Eatonton, Georgia E241540 entity
Predicate locatedNear P294 FINISHED
Object Lake Sinclair E250156 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 Sinclair | Statement: [Eatonton, Georgia, locatedNear, Lake Sinclair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Sinclair
Context triple: [Eatonton, Georgia, locatedNear, Lake Sinclair]
  • A. Lake Sinclair chosen
    Lake Sinclair is a large man-made reservoir in central Georgia known for boating, fishing, and lakeside recreation.
  • B. Lake Mackenzie
    Lake Mackenzie is a scenic alpine lake in New Zealand’s Fiordland National Park, popular with hikers on the Routeburn Track.
  • C. Crean Lake
    Crean Lake is a large freshwater lake located within Prince Albert National Park in Saskatchewan, Canada, known for its clear waters, recreational fishing, and wilderness surroundings.
  • D. Kerr Lake
    Kerr Lake is a large man-made reservoir on the North Carolina–Virginia border known for boating, fishing, and camping.
  • E. Shoal Lake
    Shoal Lake is a freshwater lake in the border region of Manitoba and Ontario, Canada, known for supplying drinking water to the city of Winnipeg.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ed50908190962f0d6d049fb964 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75018383481909abbba8247a93f8e completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:43 a.m.