Triple

T1942574
Position Surface form Disambiguated ID Type / Status
Subject San Bernardino Valley E41587 entity
Predicate contains P35 FINISHED
Object City of Beaumont E150554 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 Beaumont | Statement: [San Bernardino Valley, contains, City of Beaumont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Beaumont
Context triple: [San Bernardino Valley, contains, City of Beaumont]
  • A. Beaumont chosen
    Beaumont is a growing city in Southern California known for its suburban communities, proximity to the San Gorgonio Pass, and role as a gateway between the Inland Empire and the Coachella Valley.
  • B. City of Lamar
    City of Lamar is a municipal government in Lamar, Colorado, responsible for providing local services, infrastructure, and governance to the community.
  • C. Seagoville
    Seagoville is a small city in North Texas that functions as a suburban community within the greater Dallas–Fort Worth metropolitan area.
  • D. Trinityville
    Trinityville is a rural community located in the parish of St. Thomas in eastern Jamaica.
  • E. City of Port Arthur
    The City of Port Arthur was a former municipality in northwestern Ontario, Canada, that later became part of the city of Thunder Bay.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2fc98e881909a539c0ebf842d8b completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb7616881908bfc82997538ca08 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.