Triple

T3006824
Position Surface form Disambiguated ID Type / Status
Subject Mineral County, Nevada E81922 entity
Predicate containsBodyOfWater P1778 FINISHED
Object Walker Lake E21666 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: Walker Lake | Statement: [Mineral County, Nevada, containsBodyOfWater, Walker Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walker Lake
Context triple: [Mineral County, Nevada, containsBodyOfWater, Walker Lake]
  • A. Walker Lake chosen
    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.
  • B. Greenwood Lake
    Greenwood Lake is a scenic glacial lake straddling the border of New York and New Jersey, popular for boating, fishing, and lakeside recreation.
  • C. Jones Lake
    Jones Lake is a shallow, oval-shaped Carolina bay and state park lake in southeastern North Carolina known for its tea-colored water and recreational opportunities.
  • D. Homestead Lake
    Homestead Lake is a recreational lake in Benoni, South Africa, known for its scenic surroundings and outdoor leisure activities.
  • E. Don Lake
    Don Lake is a Canadian actor, writer, and comedian known for his character roles in film and television and frequent collaborations with director Christopher Guest.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a48f0888190bdec150dac623851 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638403d608190b9e4ff5bded68845 completed March 27, 2026, 7:56 a.m.
Created at: March 8, 2026, 3 p.m.