Triple

T22516957
Position Surface form Disambiguated ID Type / Status
Subject Tony Magee E556672 entity
Predicate associatedWith P37 FINISHED
Object Petaluma, California NE NERFINISHED

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: Petaluma, California | Statement: [Tony Magee, associatedWith, Petaluma, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petaluma, California
Context triple: [Tony Magee, associatedWith, Petaluma, California]
  • A. Petaluma, California chosen
    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.
  • B. Santa Rosa
    Santa Rosa is the principal city and administrative center of Argentina’s La Pampa Province, known for its role as a regional hub in the country’s central plains.
  • C. Santa Rosa
    Santa Rosa is a residential barrio (neighborhood) within the municipality of Dorado, Puerto Rico.
  • D. 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.
  • E. Santa Rosa
    Santa Rosa is a small settlement located on Santa Cruz Island in the Galápagos archipelago of Ecuador.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2df59c81909c4ae2f20f1cbb32 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.