Triple

T3600761
Position Surface form Disambiguated ID Type / Status
Subject Historic Filipinotown E76248 entity
Predicate borderedBy P224 FINISHED
Object Silver Lake E11299 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: Silver Lake | Statement: [Historic Filipinotown, borderedBy, Silver Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Lake
Context triple: [Historic Filipinotown, borderedBy, Silver Lake]
  • A. Silver Lake
    Silver Lake is a residential neighborhood on Staten Island in New York City, known for its namesake park and reservoir.
  • B. Silver Lake
    Silver Lake is a leading global private equity firm specializing in technology and technology-enabled investments.
  • C. Silver Lake chosen
    Silver Lake is a trendy, historically bohemian neighborhood in central Los Angeles known for its reservoir, hillside homes, and vibrant arts, dining, and nightlife scenes.
  • 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 scenic recreational lake located within Blackwell Forest Preserve in DuPage County, Illinois.
  • 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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc1a1e8c48190a28ea3ddfe8c4e54 completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c902a459f481908dbba16de611b85a completed March 29, 2026, 10:44 a.m.
Created at: March 8, 2026, 3:22 p.m.