Triple

T779465
Position Surface form Disambiguated ID Type / Status
Subject Sonoma Valley E16463 entity
Predicate contains P35 FINISHED
Object 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.
 E97020 NE FINISHED

How this triple was built (4 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: Glen Ellen | Statement: [Sonoma Valley, contains, Glen Ellen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Glen Ellen
Context triple: [Sonoma Valley, contains, Glen Ellen]
  • A. Sonoma Valley
    Sonoma Valley is a renowned wine-producing region in California celebrated for its vineyards, wineries, and scenic landscapes.
  • B. City of Sonoma
    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.
  • C. Santa Rosa
    Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
  • D. Gilroy
    Gilroy is a city in Santa Clara County, California, known for its garlic production and as the southern endpoint of Caltrain commuter rail service.
  • E. Calistoga
    Calistoga is a small resort town in California’s Napa Valley known for its wineries, hot springs, and relaxed, historic charm.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Glen Ellen
Triple: [Sonoma Valley, contains, Glen Ellen]
Generated description
Glen Ellen is a small, historic wine-country village in California known for its vineyards, scenic landscapes, and association with writer Jack London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Glen Ellen
Target entity description: Glen Ellen is a small, historic wine-country village in California known for its vineyards, scenic landscapes, and association with writer Jack London.
  • A. Sonoma Valley
    Sonoma Valley is a renowned wine-producing region in California celebrated for its vineyards, wineries, and scenic landscapes.
  • B. City of Sonoma
    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.
  • C. Santa Rosa
    Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
  • D. Gilroy
    Gilroy is a city in Santa Clara County, California, known for its garlic production and as the southern endpoint of Caltrain commuter rail service.
  • E. Calistoga
    Calistoga is a small resort town in California’s Napa Valley known for its wineries, hot springs, and relaxed, historic charm.
  • F. None of above. chosen

Provenance (5 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a750c6708190a3f2c3abf16b4ea4 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d7a0a088190972b9505ecd43d65 completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a78873daf48190aa4958a79f495903 completed March 4, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_69a788f364148190baae8fc3aecd04ab completed March 4, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:37 p.m.