Triple

T6446411
Position Surface form Disambiguated ID Type / Status
Subject African Great Lakes E138353 entity
Predicate containsLake P1025 FINISHED
Object Lake George E332519 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: Lake George | Statement: [African Great Lakes, containsLake, Lake George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake George
Context triple: [African Great Lakes, containsLake, Lake George]
  • A. Lake George chosen
    Lake George is a small, shallow freshwater lake in western Uganda, known for its rich biodiversity and role in the African Great Lakes system.
  • B. Lake George, New York
    Lake George, New York is a scenic resort town in the Adirondack Mountains known for its picturesque lake vistas that inspired many of Georgia O’Keeffe’s early paintings.
  • C. 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.
  • D. Lake Luzerne, New York
    Lake Luzerne, New York is a small Adirondack town and resort community known for its lakeside recreation and scenic setting in upstate New York.
  • E. 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.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698edeac81909426902471d8a57b completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6637ffa648190b39e9721c9a7c092 completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:46 p.m.