Triple

T10509101
Position Surface form Disambiguated ID Type / Status
Subject Messalonskee Lake E247864 entity
Predicate partOf P40 FINISHED
Object Belgrade Lakes E798904 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: Belgrade Lakes | Statement: [Messalonskee Lake, partOf, Belgrade Lakes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belgrade Lakes
Context triple: [Messalonskee Lake, partOf, Belgrade Lakes]
  • A. Belgrade Lakes chosen
    Belgrade Lakes is a scenic resort and lake region in central Maine known for its interconnected freshwater lakes, outdoor recreation, and summer tourism.
  • B. Belgrade Lakes region
    The Belgrade Lakes region is a popular recreational area in central Maine known for its chain of scenic freshwater lakes, outdoor activities, and classic New England charm.
  • C. Popovo Lake
    Popovo Lake is a prominent glacial lake in Bulgaria, known as one of the largest and most scenic high-altitude lakes in the Pirin Mountains.
  • D. Simly Lake
    Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
  • E. Gantt Lake
    Gantt Lake is a reservoir and popular outdoor recreation spot in south-central Alabama known for fishing, boating, and lakeside camping.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b359ac8190b3683cc6b9c70a71 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcee1db081908c791867e2438d30 completed April 10, 2026, 11:20 a.m.
Created at: April 6, 2026, 12:26 p.m.