Triple

T5360327
Position Surface form Disambiguated ID Type / Status
Subject Round Lake (Saratoga County, New York) E103003 entity
Predicate hasName P744 FINISHED
Object Round Lake E103003 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: Round Lake | Statement: [Round Lake (Saratoga County, New York), hasName, Round Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Round Lake
Context triple: [Round Lake (Saratoga County, New York), hasName, Round Lake]
  • A. Round Lake
    Round Lake is a small, roughly circular lake in Illinois that lends its name to the surrounding village of Round Lake.
  • B. Round Lake chosen
    Round Lake is a small village and lake in Saratoga County, New York, known for its historic character and recreational waterfront.
  • C. North Lake
    North Lake is a scenic alpine lake in California’s Eastern Sierra Nevada, popular for fishing, hiking, and as a gateway to high-country trails near Bishop.
  • D. Bay Lake
    Bay Lake is a natural lake in Central Florida located near the Walt Disney World Resort.
  • E. West Cronese Lake
    West Cronese Lake is a dry lakebed in the Mojave Desert of California, known for its arid playa landscape and proximity to the Cronese Mountains.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86588af081908c846fcde65724da completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4415b7f848190a9fc8b08824f0b9b completed April 19, 2026, 2:43 a.m.
Created at: March 20, 2026, 2:02 p.m.