Triple

T6912243
Position Surface form Disambiguated ID Type / Status
Subject The Riviera E159964 entity
Predicate near P350 FINISHED
Object Santa Monica E163687 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: Santa Monica | Statement: [The Riviera, near, Santa Monica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Monica
Context triple: [The Riviera, near, Santa Monica]
  • A. Santa Monica chosen
    Santa Monica is a coastal city in western Los Angeles County, California, known for its iconic pier, beaches, and vibrant tourism and entertainment scene.
  • B. Santa Monica
    Santa Monica is a coastal municipality on Siargao Island in the Philippines, known for its laid-back rural atmosphere, beaches, and fishing communities.
  • C. Long Beach
    Long Beach is a coastal city in Southern California known for its busy port, waterfront attractions, and diverse urban community within the Los Angeles metropolitan area.
  • D. Long Beach
    Long Beach is a renowned stretch of sandy coastline near Tofino on Vancouver Island, famous for its surfing, storm watching, and scenic Pacific Rim National Park setting.
  • E. Long Beach
    Long Beach is a popular oceanfront city and barrier island community on the south shore of Long Island in New York, known for its sandy beaches and boardwalk.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9c2e79881909eeb061be0a72bdf completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c79536c819092411ee37298a424 completed March 28, 2026, 9:16 a.m.
Created at: March 27, 2026, 2:25 p.m.