Triple

T14223156
Position Surface form Disambiguated ID Type / Status
Subject Crestline E352548 entity
Predicate isNear P350 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: [Crestline, isNear, San Bernardino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Bernardino
Context triple: [Crestline, isNear, 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 was a British paperback imprint of HarperCollins known for publishing popular fiction and non-fiction titles in the 20th century.
  • E. Fontana
    Fontana is a small village on the Greek island of Paxos, known for its traditional architecture and tranquil, rural atmosphere.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6227c288819081473ce44f9f0934 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bb5a64c81908cb8c50bbfa239a4 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:06 a.m.