Triple

T5158001
Position Surface form Disambiguated ID Type / Status
Subject Yates County, New York E116361 entity
Predicate bordersWaterBody P212 FINISHED
Object Keuka Lake E80129 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: Keuka Lake | Statement: [Yates County, New York, bordersWaterBody, Keuka Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keuka Lake
Context triple: [Yates County, New York, bordersWaterBody, Keuka Lake]
  • A. Keuka Lake chosen
    Keuka Lake is one of New York State’s Finger Lakes, known for its distinctive Y-shape, scenic beauty, and prominent wine-producing region along its shores.
  • B. 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.
  • C. Orankesee
    Orankesee is a small recreational lake in Berlin known for its bathing beach, boating, and surrounding parkland.
  • D. Chautauqua Lake
    Chautauqua Lake is a long, narrow glacial lake in western New York known for recreation, fishing, and its proximity to the historic Chautauqua Institution.
  • E. Cayuga Lake
    Cayuga Lake is the longest of New York State’s Finger Lakes, known for its scenic beauty, wineries, and role as a regional recreational and ecological hub.
  • 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_69bed927ad5481909907c8a1764e9fd8 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:44 p.m.