Triple

T7572146
Position Surface form Disambiguated ID Type / Status
Subject State Road 100 E179268 entity
Predicate passesThrough P225 FINISHED
Object Lake Butler, Florida E419280 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 Butler, Florida | Statement: [State Road 100, passesThrough, Lake Butler, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Butler, Florida
Context triple: [State Road 100, passesThrough, Lake Butler, Florida]
  • A. Lake Butler, Florida chosen
    Lake Butler, Florida is a small city in north-central Florida that serves as the administrative and commercial hub of Union County.
  • B. Bay Lake, Florida
    Bay Lake, Florida is a small, mostly privately controlled city in Orange County best known as the municipal home of the Walt Disney World Resort.
  • C. East Lake, Florida
    East Lake, Florida is an unincorporated suburban community in Pinellas County known for its residential neighborhoods, golf courses, and proximity to the Tampa Bay area.
  • D. Lake Wales, Florida
    Lake Wales, Florida is a small central Florida city known for its historic Bok Tower Gardens and scenic location on the Lake Wales Ridge.
  • E. Lake Mary, Florida
    Lake Mary, Florida is a suburban city in Seminole County known for its affluent residential communities, strong public schools, and concentration of high-tech and corporate offices within the greater Orlando area.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f921b458819092e565a4d099bbaf completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856e7c5b48190b6f53f8d14ea753d completed March 28, 2026, 10:32 p.m.
Created at: March 27, 2026, 3:51 p.m.