Triple

T17317928
Position Surface form Disambiguated ID Type / Status
Subject Schuyler County E420477 entity
Predicate borders P224 FINISHED
Object Seneca 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: Seneca Lake | Statement: [Schuyler County, borders, Seneca Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seneca Lake
Context triple: [Schuyler County, borders, 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. Lake George
    Lake George is a small recreational lake in Hobart, Indiana, known for fishing, boating, and serving as a local scenic and community gathering spot.
  • E. Lake George
    Lake George is a large, intermittently filled shallow lake in New South Wales, Australia, known for its striking appearance beside the Federal Highway northeast of Canberra.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399ea7dc8190a0ecab7534fe16c3 completed April 19, 2026, 2:10 a.m.
Created at: April 10, 2026, 5:43 a.m.