Triple

T3303513
Position Surface form Disambiguated ID Type / Status
Subject Seneca Lake Wine Trail E69391 entity
Predicate surrounds P7850 FINISHED
Object Seneca Lake E79593 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: Seneca Lake | Statement: [Seneca Lake Wine Trail, surrounds, Seneca Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seneca Lake
Context triple: [Seneca Lake Wine Trail, surrounds, Seneca Lake]
  • A. Seneca Lake chosen
    Seneca Lake is one of New York State’s largest and deepest Finger Lakes, renowned for its scenic beauty and prominent wine-producing region.
  • B. Caroga Lake
    Caroga Lake is a small hamlet and lakeside community in the Adirondack region of Fulton County, New York, known for outdoor recreation and seasonal tourism.
  • C. Lake George
    Lake George is a small, shallow freshwater lake in western Uganda, known for its rich biodiversity and role in the African Great Lakes system.
  • D. Oswego Lake
    Oswego Lake is a privately managed, man-made lake in Lake Oswego, Oregon, known for its surrounding upscale residential communities and recreational use.
  • E. Owasco Lake
    Owasco Lake is one of New York State’s Finger Lakes, known for its clear waters, scenic surroundings, and recreational activities like boating and fishing.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0c662308190aad8b2a93e1c8a5c completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3609bd0d48190838df7dd7cbca159 completed March 13, 2026, 12:55 a.m.
Created at: March 8, 2026, 3:11 p.m.