Triple

T6567835
Position Surface form Disambiguated ID Type / Status
Subject Oceano E153955 entity
Predicate near P350 FINISHED
Object Grover Beach E217587 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: Grover Beach | Statement: [Oceano, near, Grover Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grover Beach
Context triple: [Oceano, near, Grover Beach]
  • A. Grover Beach chosen
    Grover Beach is a small coastal city in California known for its beach access, dunes, and relaxed seaside community.
  • B. Encinitas
    Encinitas is a coastal city in northern San Diego County, California, known for its beaches, surf culture, and relaxed Southern California lifestyle.
  • C. Carpinteria
    Carpinteria is a small coastal city in Southern California known for its beaches, laid-back atmosphere, and annual avocado festival.
  • D. 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.
  • E. Imperial Beach
    Imperial Beach is a small coastal city in Southern California known for its sandy beaches, surfing culture, and location at the southern end of the San Diego Bay near the U.S.–Mexico border.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae54afd4819091ee65aca1de60a9 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d564cb908190bb8885e6c8d8abac completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:53 p.m.