Triple

T21758128
Position Surface form Disambiguated ID Type / Status
Subject Lake Wales, Florida E537092 entity
Predicate namedAfter P63 FINISHED
Object Lake Wales NE NERFINISHED

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 Wales | Statement: [Lake Wales, Florida, namedAfter, Lake Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Wales
Context triple: [Lake Wales, Florida, namedAfter, Lake Wales]
  • A. Lake Wales, Florida chosen
    Lake Wales, Florida is a small central Florida city known for its historic Bok Tower Gardens and scenic location on the Lake Wales Ridge.
  • B. Lake Welaka
    Lake Welaka is the historical name for Lake George, a large and prominent freshwater lake on the St. Johns River in northeastern Florida.
  • C. Lake Carey
    Lake Carey is a natural freshwater lake and popular recreational spot in northeastern Pennsylvania known for fishing, boating, and seasonal cottages.
  • D. Lake Apopka
    Lake Apopka is one of central Florida’s largest lakes, historically known for its rich wildlife and ongoing environmental restoration efforts following decades of pollution.
  • E. Lake Weir
    Lake Weir is a large freshwater lake in Marion County, central Florida, known for recreation such as boating, fishing, and lakeside communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d902c9881908051904e44a136af completed April 28, 2026, 2:38 a.m.
Created at: April 16, 2026, 6:50 p.m.