Triple

T5856616
Position Surface form Disambiguated ID Type / Status
Subject Winter Park, Florida E130168 entity
Predicate hasWaterBody P165 FINISHED
Object Lake Virginia E536149 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 Virginia | Statement: [Winter Park, Florida, hasWaterBody, Lake Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Virginia
Context triple: [Winter Park, Florida, hasWaterBody, Lake Virginia]
  • A. Lake Virginia chosen
    Lake Virginia is a scenic freshwater lake in Winter Park, Florida, known for its residential shoreline, recreational boating, and role in the city’s chain of lakes.
  • B. Lake Newport
    Lake Newport is a man-made residential and recreational lake located in the planned community of Reston, Virginia.
  • C. Lake Monroe
    Lake Monroe is a large man-made reservoir in south-central Indiana known for boating, fishing, and outdoor recreation.
  • D. Lake Monroe
    Lake Monroe is a large freshwater lake in central Florida that serves as a prominent widening of the St. Johns River and a key recreational and ecological area.
  • E. Lake Decatur
    Lake Decatur is a large man-made reservoir in central Illinois that serves as a primary water supply and recreational area for the city of Decatur.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03555cd6081908b0307decd60d2bc completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1c00a8881908570f7127418e7ff completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.