Triple

T11853452
Position Surface form Disambiguated ID Type / Status
Subject Lakhota Palace E281966 entity
Predicate hasView P854 FINISHED
Object Lakhota Lake NE NERFINISHED

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: Lakhota Lake | Statement: [Lakhota Palace, hasView, Lakhota Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakhota Lake
Context triple: [Lakhota Palace, hasView, Lakhota Lake]
  • A. Lakhota Lake chosen
    Lakhota Lake is a prominent urban lake and tourist attraction in Jamnagar, Gujarat, known for its scenic surroundings and the historic Lakhota Palace situated on an island at its center.
  • B. Quill Lake
    Quill Lake is a body of water in New Zealand’s Fiordland region, known primarily as the high-altitude lake that feeds the spectacular Sutherland Falls.
  • C. Moss Lake
    Moss Lake is a man-made reservoir in Cleveland County, North Carolina, popular for boating, fishing, and other recreational activities.
  • D. Sisko Lake
    Sisko Lake is a mountain lake located within Montenegro’s Biogradska Gora National Park, an area known for its primeval forests and glacial lakes.
  • E. Kooser Lake
    Kooser Lake is a small recreational lake in Pennsylvania known for fishing, picnicking, and scenic woodland surroundings within Kooser State Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a696ee548190800d56c64c339b10 completed April 10, 2026, 7:28 a.m.
Created at: April 8, 2026, 9:43 p.m.