Triple

T13011452
Position Surface form Disambiguated ID Type / Status
Subject Fourth Lake E322423 entity
Predicate connectedTo P37 FINISHED
Object Third Lake E357757 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: Third Lake | Statement: [Fourth Lake, connectedTo, Third Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Third Lake
Context triple: [Fourth Lake, connectedTo, Third Lake]
  • A. Third Lake chosen
    Third Lake is one of the interconnected Adirondack lakes in New York’s Fulton Chain, known for recreational boating, fishing, and scenic forested shorelines.
  • B. Third Lake
    Third Lake is a small residential village in Lake County, Illinois, known for its suburban character and the lake that shares its name.
  • C. Fourth Lake
    Fourth Lake is a popular recreational lake in the central Adirondack region of New York, known for boating, fishing, and scenic mountain surroundings.
  • D. First Lake
    First Lake is a scenic Adirondack lake in Old Forge, New York, popular for boating, fishing, and tourism.
  • E. Fifth Lake
    Fifth Lake is a scenic freshwater lake in the Town of Webb in New York’s Adirondack region, known for outdoor recreation such as boating and fishing.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9e14b88190a2cee8e0c9bf31c8 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb58e50bc819086622a33b59cc332 completed May 9, 2026, 10:30 p.m.
Created at: April 9, 2026, 8:49 p.m.