Triple

T9270421
Position Surface form Disambiguated ID Type / Status
Subject Old Forge, New York E222809 entity
Predicate locatedOn P40 FINISHED
Object First Lake E333556 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: First Lake | Statement: [Old Forge, New York, locatedOn, First Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: First Lake
Context triple: [Old Forge, New York, locatedOn, First Lake]
  • A. First Lake chosen
    First Lake is a scenic Adirondack lake in Old Forge, New York, popular for boating, fishing, and tourism.
  • B. 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.
  • C. 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.
  • D. Third Lake
    Third Lake is one of the interconnected Adirondack lakes in New York’s Fulton Chain, known for recreational boating, fishing, and scenic forested shorelines.
  • E. Middle Lake
    Middle Lake is a local lake situated in the Benoni area of South Africa, known as part of the region’s network of urban water bodies.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd078525308190abfb883123742d3f completed April 1, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d107800f6881909befc391a2b4f623 completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:33 p.m.