Triple

T2359654
Position Surface form Disambiguated ID Type / Status
Subject Battle of Santa Clara E47240 entity
Predicate namedAfter P63 FINISHED
Object city of Santa Clara E117268 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: city of Santa Clara | Statement: [Battle of Santa Clara, namedAfter, city of Santa Clara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Santa Clara
Context triple: [Battle of Santa Clara, namedAfter, city of Santa Clara]
  • A. Santa Clara, California, United States chosen
    Santa Clara is a major city in California’s Silicon Valley known for its concentration of high-tech companies, including serving as a key hub for the technology industry in the United States.
  • B. San Jose
    San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
  • C. San Jose
    San Jose is a coastal municipality in the Philippine province of Negros Oriental known for its rural communities and proximity to Dumaguete City.
  • D. San Jose
    San Jose is the main town on the island of Tinian in the Northern Mariana Islands, serving as its administrative and population center.
  • E. Milpitas
    Milpitas is a city in Santa Clara County, California, located at the southern end of the San Francisco Bay and known as part of Silicon Valley’s high-tech corridor.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc720b9048190a5d3b19e5e1f373a completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69b56b217af0819084d8aed695b8377b completed March 14, 2026, 2:05 p.m.
Created at: March 4, 2026, 7:55 p.m.