Triple

T15450841
Position Surface form Disambiguated ID Type / Status
Subject Rumsen language E370144 entity
Predicate hasDialect P4251 FINISHED
Object Monterey Rumsen E1157240 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: Monterey Rumsen | Statement: [Rumsen language, hasDialect, Monterey Rumsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monterey Rumsen
Context triple: [Rumsen language, hasDialect, Monterey Rumsen]
  • A. Carmel Rumsen chosen
    Carmel Rumsen is a specific dialect of the Rumsen language traditionally spoken by the Rumsen Ohlone people in the Carmel area of California.
  • B. Mill Valley
    Mill Valley is a small, affluent city in the San Francisco Bay Area known for its redwood forests, arts scene, and proximity to Mount Tamalpais.
  • C. Uvas Creek
    Uvas Creek is a stream in Santa Clara County, California, that flows through the foothills near Gilroy and contributes to the Pajaro River watershed.
  • D. Redondo
    Redondo is a municipality and town in Portugal’s Alentejo region, known for its wine production, traditional pottery, and well-preserved historic architecture.
  • E. San DiFrangeles
    San DiFrangeles is the fictional, hybridized city setting of the TV series "Scrubs," combining elements of San Diego and Los Angeles.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03efaf82c81908b464e37ce9c159a completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf9eae881909b5dc74c55a04ff0 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:21 a.m.