Triple

T9593012
Position Surface form Disambiguated ID Type / Status
Subject Mt. San Antonio College E231461 entity
Predicate alsoKnownAs P39 FINISHED
Object Mt. SAC E231461 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: Mt. SAC | Statement: [Mt. San Antonio College, alsoKnownAs, Mt. SAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mt. SAC
Context triple: [Mt. San Antonio College, alsoKnownAs, Mt. SAC]
  • A. Mt. San Antonio College chosen
    Mt. San Antonio College is a large public community college in Walnut, California, known for its comprehensive academic and vocational programs.
  • B. Los Medanos College
    Los Medanos College is a public community college serving students in the East Bay region of the San Francisco Bay Area.
  • C. Chaffey College
    Chaffey College is a public community college serving the Inland Empire region of Southern California with a range of academic, vocational, and transfer programs.
  • D. Skyline College
    Skyline College is a public community college located in San Bruno, California, serving students in the northern San Mateo County region with associate degrees, transfer programs, and career education.
  • E. De Anza College
    De Anza College is a community college in Cupertino, California, known for its strong academic programs and proximity to Silicon Valley.
  • 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a11ec7081908dc580de2f369706 completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161938e108190aea76d528f9208a2 completed April 4, 2026, 7:08 p.m.
Created at: March 30, 2026, 8:07 p.m.