Triple

T15609983
Position Surface form Disambiguated ID Type / Status
Subject Lake Crescent Lodge E375261 entity
Predicate hasView P854 FINISHED
Object Lake Crescent E76800 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: Lake Crescent | Statement: [Lake Crescent Lodge, hasView, Lake Crescent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Crescent
Context triple: [Lake Crescent Lodge, hasView, Lake Crescent]
  • A. Lake Crescent chosen
    Lake Crescent is a deep, glacially carved lake on Washington State’s Olympic Peninsula, renowned for its clear blue waters and scenic mountain surroundings.
  • B. Lake Cushman
    Lake Cushman is a scenic reservoir on the north fork of the Skokomish River in Washington State, popular for boating, fishing, and hiking near Olympic National Park.
  • C. Sawtooth Lake
    Sawtooth Lake is a popular high-elevation alpine lake in Idaho known for its clear waters and dramatic mountain scenery.
  • D. Lake Chelan
    Lake Chelan is a long, narrow, glacier-carved lake in north-central Washington State, renowned for its great depth, clear waters, and surrounding mountain scenery.
  • E. Lake McDonald
    Lake McDonald is the largest lake in Montana’s Glacier National Park, known for its clear waters, colorful rocks, and scenic mountain backdrop.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8024948190a6c711f2e5c2aac4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa124e7d48190ac25e9541dea0122 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:13 a.m.