Triple

T19888278
Position Surface form Disambiguated ID Type / Status
Subject Monta Vista High School E477959 entity
Predicate near P350 FINISHED
Object De Anza College NE NERFINISHED

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: De Anza College | Statement: [Monta Vista High School, near, De Anza College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Anza College
Context triple: [Monta Vista High School, near, De Anza College]
  • A. De Anza College chosen
    De Anza College is a community college in Cupertino, California, known for its strong academic programs and proximity to Silicon Valley.
  • B. Cuyamaca College
    Cuyamaca College is a public community college in El Cajon, California, offering two-year degree, transfer, and career education programs.
  • C. Santa Ana College
    Santa Ana College is a public community college in Santa Ana, California, known for offering a wide range of academic and vocational programs.
  • D. Palomar College
    Palomar College is a public community college serving North San Diego County with a wide range of academic, vocational, and transfer programs.
  • E. Mt. San Antonio College
    Mt. San Antonio College is a large public community college in Walnut, California, known for its comprehensive academic and vocational programs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590c1b9c8190abbfaa04b80713b3 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.