Triple

T7915157
Position Surface form Disambiguated ID Type / Status
Subject Auburn, Maine E183802 entity
Predicate waterBody P1778 FINISHED
Object Taylor Pond
Taylor Pond is a small freshwater lake in Auburn, Maine, popular for boating, fishing, and lakeside recreation.
 E696875 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: Taylor Pond | Statement: [Auburn, Maine, waterBody, Taylor Pond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taylor Pond
Context triple: [Auburn, Maine, waterBody, Taylor Pond]
  • A. Long Pond
    Long Pond is a large natural freshwater lake in Lakeville, Massachusetts, known for recreational boating, fishing, and its scenic residential shoreline.
  • B. Long Pond
    Long Pond is a body of water located within the town of Freetown, Massachusetts, known for recreational activities such as boating and fishing.
  • C. Wash Pond
    Wash Pond is a small freshwater lake located in the town of Hampstead in southern New Hampshire.
  • D. Fearing Pond
    Fearing Pond is a popular freshwater pond in southeastern Massachusetts known for swimming, fishing, and camping within Myles Standish State Forest.
  • E. Tivoli Pond
    Tivoli Pond is a scenic ornamental lake within Ljubljana’s historic Tivoli Park, known for its tranquil setting, wildlife, and recreational appeal.
  • 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: Taylor Pond
Triple: [Auburn, Maine, waterBody, Taylor Pond]
Generated description
Taylor Pond is a small freshwater lake in Auburn, Maine, popular for boating, fishing, and lakeside recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taylor Pond
Target entity description: Taylor Pond is a small freshwater lake in Auburn, Maine, popular for boating, fishing, and lakeside recreation.
  • A. Long Pond
    Long Pond is a large natural freshwater lake in Lakeville, Massachusetts, known for recreational boating, fishing, and its scenic residential shoreline.
  • B. Long Pond
    Long Pond is a body of water located within the town of Freetown, Massachusetts, known for recreational activities such as boating and fishing.
  • C. Wash Pond
    Wash Pond is a small freshwater lake located in the town of Hampstead in southern New Hampshire.
  • D. Fearing Pond
    Fearing Pond is a popular freshwater pond in southeastern Massachusetts known for swimming, fishing, and camping within Myles Standish State Forest.
  • E. Tivoli Pond
    Tivoli Pond is a scenic ornamental lake within Ljubljana’s historic Tivoli Park, known for its tranquil setting, wildlife, and recreational appeal.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a759b548190af2e2aa0705d7051 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5be54fdc81909a988114a6f30a13 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f20eb3c81909e059d5a02263aa2 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76bb9a308190a9d7b34838d696db completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:05 p.m.