Triple

T11063133
Position Surface form Disambiguated ID Type / Status
Subject Epcot festival series E261557 entity
Predicate city P40 FINISHED
Object Bay Lake, Florida E21349 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: Bay Lake, Florida | Statement: [Epcot festival series, city, Bay Lake, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bay Lake, Florida
Context triple: [Epcot festival series, city, Bay Lake, Florida]
  • A. Bay Lake, Florida chosen
    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.
  • B. 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.
  • C. Lake Placid, Florida
    Lake Placid, Florida is a small town in Highlands County known for its numerous murals, caladium fields, and lakeside recreation in central Florida.
  • D. Lake Butler, Florida
    Lake Butler, Florida is a small city in north-central Florida that serves as the administrative and commercial hub of Union County.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798eb838c819089a89c55209c0295 completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c887d2148190b19c91b6eb548494 completed April 18, 2026, 6:08 p.m.
Created at: April 8, 2026, 9:26 p.m.