Triple

T4654094
Position Surface form Disambiguated ID Type / Status
Subject Tamyen E102366 entity
Predicate region P40 FINISHED
Object Santa Clara Valley E65481 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 Valley | Statement: [Tamyen, region, Santa Clara Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Clara Valley
Context triple: [Tamyen, region, Santa Clara Valley]
  • A. Santa Clara Valley chosen
    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.
  • B. 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.
  • C. Santa Clara
    Santa Clara is a Silicon Valley city in California known for its high-tech industry presence, Levi’s Stadium, and Santa Clara University.
  • D. 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.
  • E. San Francisco Bay Area
    The San Francisco Bay Area is a major metropolitan region in Northern California known for its technology industry, cultural diversity, and iconic landmarks such as the Golden Gate Bridge.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd631623d881908a59dafa7702af54 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39b295ec8190bab91913ddf8eb8d completed March 21, 2026, 6:24 a.m.
Created at: March 20, 2026, 1:14 p.m.