Triple

T22083
Position Surface form Disambiguated ID Type / Status
Subject Northern California E439 entity
Predicate hasMajorCity P316 FINISHED
Object Vallejo
Vallejo is a waterfront city in the San Francisco Bay Area known for its former Mare Island Naval Shipyard and diverse, working-class community.
 E28332 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: Vallejo | Statement: [Northern California, hasMajorCity, Vallejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vallejo
Context triple: [Northern California, hasMajorCity, Vallejo]
  • A. Santa Rosa
    Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
  • B. Santa Clara
    Santa Clara is a Silicon Valley city in California known for its high-tech industry presence, Levi’s Stadium, and Santa Clara University.
  • C. Riverside
    Riverside is a major inland city in Southern California known as the birthplace of the California citrus industry and a key center of the Inland Empire region.
  • D. Chico
    Chico is a mid-sized city in Northern California known for California State University, Chico, and its large urban park, Bidwell Park.
  • E. Merced
    Merced is a city in California’s San Joaquin Valley known as a gateway to Yosemite National Park and home to the University of California, Merced.
  • 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: Vallejo
Triple: [Northern California, hasMajorCity, Vallejo]
Generated description
Vallejo is a waterfront city in the San Francisco Bay Area known for its former Mare Island Naval Shipyard and diverse, working-class community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vallejo
Target entity description: Vallejo is a waterfront city in the San Francisco Bay Area known for its former Mare Island Naval Shipyard and diverse, working-class community.
  • A. Santa Rosa
    Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
  • B. Santa Clara
    Santa Clara is a Silicon Valley city in California known for its high-tech industry presence, Levi’s Stadium, and Santa Clara University.
  • C. Riverside
    Riverside is a major inland city in Southern California known as the birthplace of the California citrus industry and a key center of the Inland Empire region.
  • D. Chico
    Chico is a mid-sized city in Northern California known for California State University, Chico, and its large urban park, Bidwell Park.
  • E. Merced
    Merced is a city in California’s San Joaquin Valley known as a gateway to Yosemite National Park and home to the University of California, Merced.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2466ab310819091842a0ea9fd25de completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34d8edb8c81909c7229fe6e4c0569 completed Feb. 28, 2026, 8:18 p.m.
NEDg Description generation batch_69a34dfe27a081909498374e791fb725 completed Feb. 28, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_69a34ed268f88190a4a4c53bc52a7182 completed Feb. 28, 2026, 8:23 p.m.
Created at: Feb. 28, 2026, 1:34 a.m.