Triple

T18023917
Position Surface form Disambiguated ID Type / Status
Subject Silver Lake E431197 entity
Predicate hasLandmark P105 FINISHED
Object Silver Lake Meadow 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: Silver Lake Meadow | Statement: [Silver Lake, hasLandmark, Silver Lake Meadow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Lake Meadow
Context triple: [Silver Lake, hasLandmark, Silver Lake Meadow]
  • A. Silver Lake Meadow chosen
    Silver Lake Meadow is a popular grassy parkland in Los Angeles known for its open fields, walking paths, and views of the Silver Lake Reservoir.
  • B. Pikes Meadow
    Pikes Meadow is a public green space and recreational park located in the town of Stowmarket in Suffolk, England.
  • C. Crescent Meadow
    Crescent Meadow is a scenic, lush alpine meadow in California’s Sierra Nevada, renowned for its surrounding giant sequoia trees and tranquil walking trails.
  • D. Silver Lake
    Silver Lake is a scenic body of water within Lynn Woods Reservation in Lynn, Massachusetts, popular for its natural beauty and outdoor recreation.
  • E. Silver Lake
    Silver Lake is a leading global private equity firm specializing in technology and technology-enabled investments.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c475dc819086c4cd86d663791f completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.