Triple

T13576027
Position Surface form Disambiguated ID Type / Status
Subject Tonto National Forest E324287 entity
Predicate contains P35 FINISHED
Object Bartlett Lake E899461 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: Bartlett Lake | Statement: [Tonto National Forest, contains, Bartlett Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bartlett Lake
Context triple: [Tonto National Forest, contains, Bartlett Lake]
  • A. Bartlett Lake chosen
    Bartlett Lake is a large reservoir in central Arizona popular for boating, fishing, and outdoor recreation within the Sonoran Desert landscape.
  • B. Hoyt Lake
    Hoyt Lake is a scenic man-made lake in Buffalo, New York, known as a central feature of the historic, Olmsted-designed Delaware Park.
  • C. Baldwin Lake
    Baldwin Lake is a shallow, often seasonal natural lake in California’s San Bernardino Mountains, known for its high-elevation meadow habitat and proximity to the Big Bear Lake resort area.
  • D. Baldwin Lake
    Baldwin Lake is a small inland lake located within Orion Township in Oakland County, Michigan, known for its residential shoreline and recreational use.
  • E. Dinas Lake
    Dinas Lake is a scenic Welsh lake known for its tranquil waters and surrounding mountainous landscape near Snowdonia.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02b1f108190a12af382d1de70bb completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0b5844337081908aef20e35afd6233 completed May 18, 2026, 6:19 p.m.
Created at: April 9, 2026, 9:48 p.m.