Triple

T3843167
Position Surface form Disambiguated ID Type / Status
Subject Long Beach Transit E93502 entity
Predicate serves P98 FINISHED
Object Lakewood, California E266610 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: Lakewood, California | Statement: [Long Beach Transit, serves, Lakewood, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lakewood, California
Context triple: [Long Beach Transit, serves, Lakewood, California]
  • A. Lakewood
    Lakewood is a suburban city in Pierce County, Washington, located south of Tacoma within the greater Seattle metropolitan area.
  • B. Lakewood
    Lakewood is a community name commonly associated with suburban towns in the United States, notably lending its name to Lakewood Township in New Jersey.
  • C. Lakewood
    Lakewood is a densely populated inner-ring suburb of Cleveland, Ohio, known for its historic housing stock, walkable neighborhoods, and vibrant commercial districts along its main corridors.
  • D. Lakewood chosen
    Lakewood is a suburban city in Los Angeles County, California, known for its post–World War II planned residential developments and proximity to Long Beach.
  • E. Laguna Hills, California
    Laguna Hills, California is a suburban city in southern Orange County known for its residential communities, shopping centers, and proximity to coastal and inland attractions.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb4fd308190a636ba9dbbe57ed6 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5560fd8808190a63143266f344e8d completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:18 p.m.