Triple

T5158002
Position Surface form Disambiguated ID Type / Status
Subject Yates County, New York E116361 entity
Predicate bordersWaterBody P212 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: [Yates County, New York, bordersWaterBody, Seneca Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seneca Lake
Context triple: [Yates County, New York, bordersWaterBody, 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7904457c819090f382029ebb2b43 completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefa840288190ad0e1ab7af8b9c4c completed March 21, 2026, 7:21 p.m.
Created at: March 20, 2026, 1:44 p.m.