Triple

T5294079
Position Surface form Disambiguated ID Type / Status
Subject The Man Who Wasn't There E119811 entity
Predicate setInLocation P40 FINISHED
Object Santa Rosa, California E27583 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: Santa Rosa, California | Statement: [The Man Who Wasn't There, setInLocation, Santa Rosa, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Rosa, California
Context triple: [The Man Who Wasn't There, setInLocation, Santa Rosa, California]
  • A. Santa Rosa chosen
    Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
  • B. Santa Rosa
    Santa Rosa is a residential barrio (neighborhood) within the municipality of Dorado, Puerto Rico.
  • C. Santa Rosa
    Santa Rosa is a rapidly urbanizing city in the Philippine province of Laguna, known as a major industrial, commercial, and residential hub in the Calabarzon region.
  • D. Sonoma, California
    Sonoma, California is a historic city in California's Wine Country known for its vineyards, colonial-era plaza, and role in the early history of the state.
  • E. Petaluma, California
    Petaluma, California is a historic city in the North Bay region of the San Francisco Bay Area known for its well-preserved downtown, agricultural roots, and proximity to wine country.
  • 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84f034f081908027a43120b6e122 completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf1880bec88190a5b1ca453c783444 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:52 p.m.