Triple

T1496535
Position Surface form Disambiguated ID Type / Status
Subject University of California, Santa Cruz E29699 entity
Predicate city P40 FINISHED
Object Santa Cruz E75429 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 Cruz | Statement: [University of California, Santa Cruz, city, Santa Cruz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Cruz
Context triple: [University of California, Santa Cruz, city, Santa Cruz]
  • A. Santa Cruz
    Santa Cruz is a municipality in the Brazilian state of Rio Grande do Norte, known for its religious tourism and the large statue of Santa Rita de Cássia.
  • B. Santa Cruz
    Santa Cruz is a notable wine-producing city in central Chile’s Colchagua Valley, recognized for its vineyards, tourism, and colonial charm.
  • C. Santa Cruz
    Saint Croix is the largest of the U.S. Virgin Islands in the Caribbean, known for its colonial history, beaches, and coral reefs.
  • D. Santa Cruz, California chosen
    Santa Cruz, California is a coastal city in Northern California known for its surf culture, beach boardwalk, and progressive university community.
  • E. San Rafael
    San Rafael is a city in the North Bay region of the San Francisco Bay Area in California, known for its historic downtown and role as a cultural and economic hub of Marin County.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6edca248190a90205799b270058 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae58a7b1fc8190b76b09e64097b881 completed March 9, 2026, 5:20 a.m.
Created at: March 1, 2026, 8:12 p.m.