Triple

T2966243
Position Surface form Disambiguated ID Type / Status
Subject North Highlands E80170 entity
Predicate near P350 FINISHED
Object Sacramento E107319 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: Sacramento | Statement: [North Highlands, near, Sacramento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sacramento
Context triple: [North Highlands, near, Sacramento]
  • A. Sacramento
    Sacramento is the capital city of the U.S. state of California, known for its role as the state’s political center and its historic roots in the Gold Rush era.
  • B. Fresno
    Fresno is a major agricultural and economic center in California’s San Joaquin Valley, known for its role in the state’s farming industry and its diverse urban population.
  • C. San Francisco
    San Francisco is a major coastal city in Northern California known for its hilly landscape, iconic Golden Gate Bridge, and role as a historic center of technology and counterculture.
  • D. Sacramento metropolitan area chosen
    The Sacramento metropolitan area is a major urban region in Northern California centered on the state capital of Sacramento, encompassing surrounding suburban and rural counties.
  • E. Fremont
    Fremont is a large suburban city in the San Francisco Bay Area known for its diverse population, tech industry presence, and proximity to Silicon Valley.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad996e93788190ba9883714d4dfa0c completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b276b188248190b015eec2b83bc20b completed March 12, 2026, 8:17 a.m.
Created at: March 8, 2026, 2:58 p.m.