Triple

T6819013
Position Surface form Disambiguated ID Type / Status
Subject Lakeville, Connecticut E156847 entity
Predicate hasLake P1025 FINISHED
Object Lake Wononscopomuc E466346 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 Wononscopomuc | Statement: [Lakeville, Connecticut, hasLake, Lake Wononscopomuc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Wononscopomuc
Context triple: [Lakeville, Connecticut, hasLake, Lake Wononscopomuc]
  • A. Lake Wononscopomuc chosen
    Lake Wononscopomuc is a natural lake in Salisbury, Connecticut, known as the deepest lake in the state and a popular spot for recreation and scenic views.
  • B. Lake Waban
    Lake Waban is a scenic freshwater lake in Wellesley, Massachusetts, known for its walking trails and its central role in the landscape of Wellesley College.
  • C. Lake Lillinonah
    Lake Lillinonah is a large, scenic man-made lake in western Connecticut popular for boating, fishing, and waterfront recreation.
  • D. Lake Skenonto
    Lake Skenonto is a scenic backcountry lake in New York’s Harriman State Park, popular with hikers and campers for its remote, forested setting.
  • E. Lake Wanapitei
    Lake Wanapitei is a large crater lake in Ontario, Canada, notable for being one of the world’s largest lakes entirely contained within a single city’s boundaries.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d35781e88190a45d1386706d4422 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7daf7529c8190b70ac11fb4c9ba32 completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:17 p.m.