Triple

T4818146
Position Surface form Disambiguated ID Type / Status
Subject Sand Lake, New York E107640 entity
Predicate hasLake P1025 FINISHED
Object Glass Lake
Glass Lake is a small scenic lake located near the community of Sand Lake in Rensselaer County, New York.
 E595386 NE FINISHED

How this triple was built (4 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: Glass Lake | Statement: [Sand Lake, New York, hasLake, Glass Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Glass Lake
Context triple: [Sand Lake, New York, hasLake, Glass Lake]
  • A. Don Lake
    Don Lake is a Canadian actor, writer, and comedian known for his character roles in film and television and frequent collaborations with director Christopher Guest.
  • B. George Lake
    George Lake is a scenic freshwater lake in Ontario, Canada, best known as a central feature and popular access point within Killarney Provincial Park.
  • C. The Lake
    The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
  • D. The Lake
    The Lake is a painting by British artist L. S. Lowry, known for his distinctive depictions of industrial landscapes and urban life.
  • E. The Lake
    The Lake is a picturesque man-made body of water in New York City's Central Park, popular for boating, scenic views, and surrounding walking paths.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Glass Lake
Triple: [Sand Lake, New York, hasLake, Glass Lake]
Generated description
Glass Lake is a small scenic lake located near the community of Sand Lake in Rensselaer County, New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Glass Lake
Target entity description: Glass Lake is a small scenic lake located near the community of Sand Lake in Rensselaer County, New York.
  • A. Don Lake
    Don Lake is a Canadian actor, writer, and comedian known for his character roles in film and television and frequent collaborations with director Christopher Guest.
  • B. George Lake
    George Lake is a scenic freshwater lake in Ontario, Canada, best known as a central feature and popular access point within Killarney Provincial Park.
  • C. The Lake
    The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
  • D. The Lake
    The Lake is a painting by British artist L. S. Lowry, known for his distinctive depictions of industrial landscapes and urban life.
  • E. The Lake
    The Lake is a picturesque man-made body of water in New York City's Central Park, popular for boating, scenic views, and surrounding walking paths.
  • F. None of above. chosen

Provenance (5 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c95b0ec8190a562541b0d7417cb completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6536fc20c81909b6c57d559880877 completed March 27, 2026, 9:52 a.m.
NEDg Description generation batch_69c6541014d88190a80baa7f5e94a7d8 completed March 27, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_69c655140fbc8190ab8248a9e0c3de71 completed March 27, 2026, 9:59 a.m.
Created at: March 20, 2026, 1:24 p.m.