Triple

T17650361
Position Surface form Disambiguated ID Type / Status
Subject Queensbury E429473 entity
Predicate borders P224 FINISHED
Object Lake Luzerne 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: Lake Luzerne | Statement: [Queensbury, borders, Lake Luzerne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Luzerne
Context triple: [Queensbury, borders, Lake Luzerne]
  • A. Lake Luzerne, New York chosen
    Lake Luzerne, New York is a small Adirondack town and resort community known for its lakeside recreation and scenic setting in upstate New York.
  • B. Oneida Lake
    Oneida Lake is a large, shallow lake in central New York known for its recreational fishing, boating, and role as an important link in the region’s waterways.
  • C. Tioga Lake
    Tioga Lake is a man-made reservoir in north-central Pennsylvania known for flood control, recreation, and its role in regional water management.
  • D. Tioga Lake
    Tioga Lake is a high-elevation alpine lake in the Sierra Nevada of California, just east of Yosemite National Park, known for its scenic mountain views and outdoor recreation.
  • E. Seneca Lake
    Seneca Lake is one of New York State’s largest and deepest Finger Lakes, renowned for its scenic beauty and prominent wine-producing region.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3c7da48190b38558bc66637687 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:05 a.m.