Triple

T3838682
Position Surface form Disambiguated ID Type / Status
Subject City of Sonoma E93397 entity
Predicate hasOfficialName P66 FINISHED
Object City of Sonoma E93397 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 Sonoma | Statement: [City of Sonoma, hasOfficialName, City of Sonoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Sonoma
Context triple: [City of Sonoma, hasOfficialName, City of Sonoma]
  • A. City of Sonoma chosen
    The City of Sonoma is a historic small city in California’s Wine Country, known for its colonial-era plaza, mission, and role in the early history of the state.
  • B. Sonoma Heights
    Sonoma Heights is a residential neighbourhood in the city of Vaughan, Ontario, known for its family-oriented community and suburban character.
  • C. Sonoma Valley
    Sonoma Valley is a renowned wine-producing region in California celebrated for its vineyards, wineries, and scenic landscapes.
  • 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. Glen Ellen
    Glen Ellen is a small, historic wine-country village in California known for its vineyards, scenic landscapes, and association with writer Jack London.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeb9f305c8190b71ac53bbb0c4beb completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51228a7a48190bc42898be15b450b completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:18 p.m.