Triple

T21452986
Position Surface form Disambiguated ID Type / Status
Subject Lake Needwood E529264 entity
Predicate near P350 FINISHED
Object Lake Frank 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 Frank | Statement: [Lake Needwood, near, Lake Frank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Frank
Context triple: [Lake Needwood, near, Lake Frank]
  • A. Lake Frank chosen
    Lake Frank is a man-made reservoir and popular recreational lake located within Rock Creek Regional Park in Montgomery County, Maryland.
  • B. Lake Loveland
    Lake Loveland is a large, scenic reservoir and popular recreation spot in Loveland, Colorado, known for fishing, boating, and its prominent lakeside sculpture and holiday light displays.
  • C. Lake Catherine
    Lake Catherine is a man-made reservoir in Arkansas known for its scenic shoreline, recreational opportunities, and role in hydroelectric power generation along the Ouachita River.
  • D. Lake Catherine
    Lake Catherine is one of the interconnected lakes in northeastern Illinois’ Chain O’Lakes region, popular for boating, fishing, and other recreational activities.
  • E. Lake Martin
    Lake Martin is a large, man-made reservoir in central Alabama known for its scenic shoreline, recreational boating, 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d426d88190ae87ae9fac9c30a0 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:07 p.m.