Triple

T13237235
Position Surface form Disambiguated ID Type / Status
Subject Keuka Lake Outlet E315179 entity
Predicate nearbySettlement P350 FINISHED
Object Dresden, New York E392969 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: Dresden, New York | Statement: [Keuka Lake Outlet, nearbySettlement, Dresden, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dresden, New York
Context triple: [Keuka Lake Outlet, nearbySettlement, Dresden, New York]
  • A. Dresden, New York
    Dresden, New York is a small rural town located in Washington County in eastern upstate New York, near the Vermont border and the shores of Lake George.
  • B. Dresden, New York chosen
    Dresden, New York is a small village in Yates County situated on the shores of Seneca Lake in the Finger Lakes region.
  • C. Potsdam, New York
    Potsdam, New York is a small town in St. Lawrence County known for hosting Clarkson University and SUNY Potsdam in the North Country region of the state.
  • D. Johnsburg, New York
    Johnsburg, New York is a small rural town in the Adirondack Mountains known for its outdoor recreation and scenic natural landscapes.
  • E. Lansing, New York
    Lansing, New York is a town in Tompkins County near Cayuga Lake in the Finger Lakes region of central New York State.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d56da008190af55da3a9e7ffd4d completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff3079c08190977663e5d4762a80 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:22 p.m.