Triple

T5339200
Position Surface form Disambiguated ID Type / Status
Subject Tonto National Forest E123902 entity
Predicate contains P35 FINISHED
Object Apache Lake E408675 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: Apache Lake | Statement: [Tonto National Forest, contains, Apache Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apache Lake
Context triple: [Tonto National Forest, contains, Apache Lake]
  • A. Apache Lake chosen
    Apache Lake is a reservoir in central Arizona popular for boating, fishing, and scenic desert canyon views along the Salt River.
  • B. Walker Lake
    Walker Lake is a large natural desert lake in western Nevada known for its shrinking water levels and importance as a habitat for migratory birds and native fish.
  • C. Wilson Lake
    Wilson Lake is a man-made reservoir in northern Alabama known for hydroelectric power generation, navigation, and recreational activities along the Tennessee River.
  • D. Wilson Lake
    Wilson Lake is a scenic freshwater lake in western Maine known for recreation such as boating, fishing, and lakeside camping.
  • E. Crowley Lake
    Crowley Lake is a large man-made reservoir in California’s eastern Sierra Nevada, popular for fishing, boating, and its striking volcanic rock formations along the shoreline.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85c8415c819099a0b26e07360f01 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c845c232188190a3391ce5159f49bb completed March 28, 2026, 9:18 p.m.
Created at: March 20, 2026, 2 p.m.