Triple

T9201700
Position Surface form Disambiguated ID Type / Status
Subject Lake Ellyn E220855 entity
Predicate surroundedBy P224 FINISHED
Object Lake Ellyn Park E220855 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 Ellyn Park | Statement: [Lake Ellyn, surroundedBy, Lake Ellyn Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Ellyn Park
Context triple: [Lake Ellyn, surroundedBy, Lake Ellyn Park]
  • A. Lake Ellyn chosen
    Lake Ellyn is a scenic recreational lake and park centerpiece in Glen Ellyn, Illinois, known for activities like walking, picnicking, and community events.
  • B. Lake View Park
    Lake View Park is a popular recreational park and picnic spot located along the shores of Rawal Lake near Islamabad, Pakistan.
  • C. Lakeview Park
    Lakeview Park is a popular waterfront recreational area in Oshawa, Ontario, featuring green spaces, trails, and access to Lake Ontario.
  • D. City Lake Park
    City Lake Park is a public recreational park in Mesquite, Texas, featuring a lake, green spaces, and outdoor amenities for community activities.
  • E. Lake Harbor Park
    Lake Harbor Park is a public lakeside recreation area in Norton Shores, Michigan, known for its beach access, trails, and natural scenery along Lake Michigan.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd943cfb0819082231d80f0dc073b completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c4953588190aa842de269eee56c completed April 4, 2026, 12:33 a.m.
Created at: March 30, 2026, 7:25 p.m.