Triple

T5074424
Position Surface form Disambiguated ID Type / Status
Subject Leavey School of Business E114357 entity
Predicate city P40 FINISHED
Object Santa Clara E13690 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: Santa Clara | Statement: [Leavey School of Business, city, Santa Clara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Clara
Context triple: [Leavey School of Business, city, Santa Clara]
  • A. Santa Clara
    Santa Clara is a major city in central Cuba known as the capital of Villa Clara Province and a historic site of key battles in the Cuban Revolution.
  • B. Santa Clara chosen
    Santa Clara is a Silicon Valley city in California known for its high-tech industry presence, Levi’s Stadium, and Santa Clara University.
  • C. San Mateo
    San Mateo is a city in California’s San Francisco Bay Area, known for its suburban neighborhoods, parks, and role as a commercial and residential hub on the Peninsula.
  • D. Santa Clara Valley
    Santa Clara Valley is a region in Northern California that encompasses much of Silicon Valley, known for its high-tech industry, suburban communities, and proximity to the San Francisco Bay Area.
  • E. Santa Clara Canton
    Santa Clara Canton is an administrative subdivision in eastern Ecuador known for its location within the Amazonian Pastaza Province and its largely rural, rainforest-covered territory.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74d0be1c819081b26235fe602a30 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3777eac81908880498eaa6c1046 completed March 27, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:39 p.m.