Triple

T15845069
Position Surface form Disambiguated ID Type / Status
Subject North Georgia E384192 entity
Predicate contains P35 FINISHED
Object Lake Nottely E1111650 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 Nottely | Statement: [North Georgia, contains, Lake Nottely]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Nottely
Context triple: [North Georgia, contains, Lake Nottely]
  • A. Lake Nottely chosen
    Lake Nottely is a man-made reservoir in the mountains of northern Georgia, popular for boating, fishing, and lakeside recreation.
  • B. Lake Jacksonville
    Lake Jacksonville is a recreational reservoir near Jacksonville, Illinois, popular for fishing, boating, and outdoor activities.
  • C. Lake Juliette
    Lake Juliette is a man-made reservoir in central Georgia known for fishing, boating, and its relatively undeveloped, natural shoreline.
  • D. Lake Seminole
    Lake Seminole is a large reservoir on the Florida–Georgia border known for fishing, boating, and wildlife habitat along the lower Chattahoochee and Flint Rivers.
  • E. Lake Weatherford
    Lake Weatherford is a man-made reservoir in north-central Texas known for recreational activities such as fishing, boating, and camping.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142eb20088190bb45e37ce3291ef2 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa1412c9481909808473e14058033 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.