Triple

T6049666
Position Surface form Disambiguated ID Type / Status
Subject Hesperia E134757 entity
Predicate locatedNorthOf P305 FINISHED
Object San Bernardino E35481 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: San Bernardino | Statement: [Hesperia, locatedNorthOf, San Bernardino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Bernardino
Context triple: [Hesperia, locatedNorthOf, San Bernardino]
  • A. San Bernardino chosen
    San Bernardino is a major inland city in Southern California known as a regional transportation hub and gateway to the Inland Empire.
  • B. Murrieta
    Murrieta is a rapidly growing suburban city in Southern California known for its family-friendly neighborhoods and proximity to major regional employment centers.
  • C. Hemet
    Hemet is a city in Southern California known for its retirement communities, proximity to the San Jacinto Mountains, and the annual Ramona Pageant, one of the longest-running outdoor plays in the United States.
  • D. Fontana
    Fontana is a small village on the Greek island of Paxos, known for its traditional architecture and tranquil, rural atmosphere.
  • E. Fullerton
    Fullerton is a major Chicago Transit Authority station in the Lincoln Park neighborhood that serves multiple 'L' lines and connects riders to both local destinations and downtown Chicago.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f4f84c8190a7e2416d81b3554c completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14149f97081908d57c21652097ad3 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:09 p.m.