Triple

T9908080
Position Surface form Disambiguated ID Type / Status
Subject Algonquin, Illinois E185066 entity
Predicate locatedNear P294 FINISHED
Object Crystal Lake, Illinois E101650 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: Crystal Lake, Illinois | Statement: [Algonquin, Illinois, locatedNear, Crystal Lake, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crystal Lake, Illinois
Context triple: [Algonquin, Illinois, locatedNear, Crystal Lake, Illinois]
  • A. Crystal Lake, Illinois chosen
    Crystal Lake, Illinois is a suburban city in the Chicago metropolitan area known for its namesake lake, residential communities, and local parks and recreation.
  • B. Crystal Lake
    Crystal Lake is a recreational lake in Burnsville, Minnesota, known for activities such as boating, fishing, and swimming.
  • C. Crystal Lake
    Crystal Lake is a scenic natural pond and popular public recreation area in Newton, Massachusetts, known for swimming, boating, and its surrounding parkland.
  • D. Crystal Lake
    Crystal Lake is a large, clear, and popular recreational inland lake in northwestern Michigan known for its scenic beauty and outdoor activities.
  • E. Crystal Lake
    Crystal Lake is a small freshwater lake located in the town of Sand Lake in upstate New York.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb50feb008190aa9c084f590c0ebd completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20daabd5881908b02da50a640766a completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.