Triple

T15657641
Position Surface form Disambiguated ID Type / Status
Subject Woodstock, Georgia E376483 entity
Predicate near P350 FINISHED
Object Lake Allatoona E376489 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 Allatoona | Statement: [Woodstock, Georgia, near, Lake Allatoona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Allatoona
Context triple: [Woodstock, Georgia, near, Lake Allatoona]
  • A. Lake Allatoona chosen
    Lake Allatoona is a large reservoir in northwestern Georgia popular for boating, fishing, and outdoor recreation.
  • B. Lake Tallapoosa
    Lake Tallapoosa is a man-made reservoir on the Tallapoosa River, known for recreational activities such as boating, fishing, and lakeside camping.
  • C. 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.
  • D. Lake Lanier
    Lake Lanier is a large man-made reservoir in northern Georgia known for recreation, boating, and serving as a major water supply for the Atlanta metropolitan area.
  • E. Lake Hodges
    Lake Hodges is a reservoir in San Diego County, California, known for its scenic surroundings, recreational activities, and distinctive pedestrian suspension bridge.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef3cb8c8190a10815b675b341c1 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679bb7f0819092a98c2981bc9267 completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:15 a.m.