Triple

T1216549
Position Surface form Disambiguated ID Type / Status
Subject Mission Santa Clara de Asís E26117 entity
Predicate isMajorLandmarkOf P6629 FINISHED
Object City of 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: City of Santa Clara | Statement: [Mission Santa Clara de Asís, isMajorLandmarkOf, City of Santa Clara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Santa Clara
Context triple: [Mission Santa Clara de Asís, isMajorLandmarkOf, City of Santa Clara]
  • A. 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.
  • B. El Palo Alto
    El Palo Alto is a historic coastal redwood tree in California that serves as the namesake and iconic symbol of the city of Palo Alto.
  • C. San Jose
    San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
  • D. Redwood City, California
    Redwood City, California is a city on the San Francisco Peninsula in Silicon Valley, known for its historic downtown and role as the county seat of San Mateo County.
  • E. Sunnyvale
    Sunnyvale is a major Silicon Valley city in Northern California known for its high-tech industry presence and suburban residential communities.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be06d6308190a44c505e6b5e8d42 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae891551c8819090f6edd70c45ff39 completed March 9, 2026, 8:47 a.m.
Created at: March 1, 2026, 7:46 p.m.