Triple

T1224596
Position Surface form Disambiguated ID Type / Status
Subject San Diego County E26297 entity
Predicate contains P35 FINISHED
Object 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: Oceanside | Statement: [San Diego County, contains, Oceanside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oceanside
Context triple: [San Diego County, contains, 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. Laguna Beach
    Laguna Beach is a coastal Southern California city renowned for its scenic beaches, vibrant arts community, and historic role as a hub for the California Impressionist art movement.
  • C. Newport Beach
    Newport Beach is a coastal city in Southern California known for its affluent residential communities, extensive harbor, and popular beaches.
  • D. Huntington Beach
    Huntington Beach is a coastal city in Southern California known for its long sandy beaches, surf culture, and vibrant seaside community.
  • E. Seaside, California
    Seaside, California is a coastal city on the Monterey Bay known for its proximity to Monterey and its role as a residential and educational hub on the central California coast.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be382c4081909238c18b805352a7 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada0b77f008190893627daee29c441 completed March 8, 2026, 4:15 p.m.
Created at: March 1, 2026, 7:47 p.m.