Triple

T11933136
Position Surface form Disambiguated ID Type / Status
Subject Sherman, Connecticut E283964 entity
Predicate hasBodyOfWater P1778 FINISHED
Object Candlewood Lake 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: Candlewood Lake | Statement: [Sherman, Connecticut, hasBodyOfWater, Candlewood Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Candlewood Lake
Context triple: [Sherman, Connecticut, hasBodyOfWater, Candlewood Lake]
  • A. Candlewood Lake chosen
    Candlewood Lake is a large man-made reservoir in western Connecticut known for recreation such as boating, fishing, and lakeside vacation homes.
  • B. Woods Lake
    Woods Lake is a scenic alpine lake in the Sierra Nevada of California, popular for camping, fishing, and hiking in the Carson Pass area.
  • C. Gilmore Lake
    Gilmore Lake is a scenic alpine lake in California’s Sierra Nevada, popular with hikers and backpackers exploring the Desolation Wilderness.
  • D. Greenwood Lake
    Greenwood Lake is a scenic glacial lake straddling the border of New York and New Jersey, popular for boating, fishing, and lakeside recreation.
  • E. Lynx Lake
    Lynx Lake is a popular man-made reservoir and recreation area in the Prescott National Forest of Arizona, known for fishing, camping, and scenic hiking.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90305015c81908edb0d9d3d012b2e completed April 10, 2026, 2:02 p.m.
Created at: April 8, 2026, 9:45 p.m.