Triple

T3653822
Position Surface form Disambiguated ID Type / Status
Subject Gateway Cities E77482 entity
Predicate hasCity P316 FINISHED
Object Lakewood 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 | Statement: [Gateway Cities, hasCity, Lakewood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakewood
Context triple: [Gateway Cities, hasCity, Lakewood]
  • 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 densely populated inner-ring suburb of Cleveland, Ohio, known for its historic housing stock, walkable neighborhoods, and vibrant commercial districts along its main corridors.
  • C. 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.
  • D. 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.
  • E. Englewood
    Englewood is a neighborhood on the South Side of Chicago, Illinois, historically known for its commercial hub and later for significant economic and social challenges.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3b9164c81908938a4338430d193 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4883bb50c8190bd383b21ac748a2e completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:24 p.m.