Triple

T8162340
Position Surface form Disambiguated ID Type / Status
Subject Oceanside City Beach E190604 entity
Predicate near P350 FINISHED
Object Downtown Oceanside E36088 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: Downtown Oceanside | Statement: [Oceanside City Beach, near, Downtown Oceanside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downtown Oceanside
Context triple: [Oceanside City Beach, near, Downtown Oceanside]
  • A. Oceanside chosen
    Oceanside is a coastal city in northern San Diego County known for its beaches, historic wooden pier, and laid-back Southern California surf culture.
  • B. Oceanside
    Oceanside is a suburban hamlet in Nassau County, Long Island, New York, known as a residential community near the South Shore waterfront.
  • C. Downtown San Diego
    Downtown San Diego is the city's central urban core, known for its waterfront, cultural attractions, nightlife, and role as a major business and transit hub in Southern California.
  • D. Downtown Santa Monica
    Downtown Santa Monica is a vibrant coastal urban district in Santa Monica, California, known for its shopping, dining, entertainment, and proximity to the Pacific Ocean.
  • E. Oceanside waterfront
    The Oceanside waterfront is a coastal area in Oceanside, California, known for its sandy beaches, recreational activities, and scenic ocean views.
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4556b45c819089eb15ad027b036a completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced4e6efc8190a74aea4ab213298b completed April 1, 2026, 10:02 a.m.
Created at: March 30, 2026, 5:38 p.m.