Triple

T7139985
Position Surface form Disambiguated ID Type / Status
Subject Northern Illinois E166416 entity
Predicate hasCity P316 FINISHED
Object Crystal Lake 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 | Statement: [Northern Illinois, hasCity, Crystal Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crystal Lake
Context triple: [Northern Illinois, hasCity, Crystal Lake]
  • A. Crystal Lake
    Crystal Lake is a large, clear, and popular recreational inland lake in northwestern Michigan known for its scenic beauty and outdoor activities.
  • B. Crystal Lake
    Crystal Lake is a small freshwater lake located in the town of Sand Lake in upstate New York.
  • C. Crystal Lake
    Crystal Lake is a recreational lake in Burnsville, Minnesota, known for activities such as boating, fishing, and swimming.
  • D. 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.
  • E. 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.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7775e408190b880abde0a3f8d12 completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a34e55f481909b1aee270363fd61 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:45 p.m.