Triple

T8812208
Position Surface form Disambiguated ID Type / Status
Subject Belgrade Lakes region E209691 entity
Predicate hasPart P35 FINISHED
Object Long Pond
Long Pond is a scenic freshwater lake in Maine’s Belgrade Lakes region, popular for boating, fishing, and lakeside recreation.
E770479 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: Long Pond | Statement: [Belgrade Lakes region, hasPart, Long Pond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Long Pond
Context triple: [Belgrade Lakes region, hasPart, Long 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. Tivoli Pond
    Tivoli Pond is a scenic ornamental lake within Ljubljana’s historic Tivoli Park, known for its tranquil setting, wildlife, and recreational appeal.
  • D. Mill Pond
    Mill Pond is a scenic natural attraction in Pembroke known for its tranquil waters and surrounding greenery, popular for leisurely walks and outdoor relaxation.
  • E. Langham Pond
    Langham Pond is a notable natural pond and wildlife habitat located within the historic Runnymede landscape in Surrey, England.
  • 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: Long Pond
Triple: [Belgrade Lakes region, hasPart, Long Pond]
Generated description
Long Pond is a scenic freshwater lake in Maine’s Belgrade Lakes region, popular for boating, fishing, and lakeside recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Long Pond
Target entity description: Long Pond is a scenic freshwater lake in Maine’s Belgrade Lakes region, 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. Tivoli Pond
    Tivoli Pond is a scenic ornamental lake within Ljubljana’s historic Tivoli Park, known for its tranquil setting, wildlife, and recreational appeal.
  • D. Mill Pond
    Mill Pond is a scenic natural attraction in Pembroke known for its tranquil waters and surrounding greenery, popular for leisurely walks and outdoor relaxation.
  • E. Langham Pond
    Langham Pond is a notable natural pond and wildlife habitat located within the historic Runnymede landscape in Surrey, England.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5feed07881909bbe116ae359346a completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfd07d7214819083eb74a5a1a4af2a completed April 3, 2026, 2:36 p.m.
NEDg Description generation batch_69cfd127272c81908584aefa699311bd completed April 3, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69cfd194fee481908c7251a1c0ebece4 completed April 3, 2026, 2:41 p.m.
Created at: March 30, 2026, 6:45 p.m.