Triple

T914871
Position Surface form Disambiguated ID Type / Status
Subject San Pablo Bay E19744 entity
Predicate namedAfter P63 FINISHED
Object City of San Pablo
The City of San Pablo is a small, historically working-class municipality in Contra Costa County, California, located in the East Bay region just north of Richmond.
 E108763 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: City of San Pablo | Statement: [San Pablo Bay, namedAfter, City of San Pablo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: City of San Pablo
Context triple: [San Pablo Bay, namedAfter, City of San Pablo]
  • A. 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.
  • B. City of Pueblo
    The City of Pueblo is a home-rule municipality in southern Colorado that serves as a regional hub for industry, culture, and transportation along the Arkansas River.
  • C. Rosarito
    Rosarito is a coastal resort city in northern Baja California, Mexico, known for its beaches, tourism, and proximity to the U.S. border.
  • D. San Fernando
    San Fernando is a Philippine city on the island of Luzon known as a regional commercial and administrative center.
  • E. San Fernando
    San Fernando is a principal urban center and agricultural hub in central Chile’s O’Higgins Region.
  • 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: City of San Pablo
Triple: [San Pablo Bay, namedAfter, City of San Pablo]
Generated description
The City of San Pablo is a small, historically working-class municipality in Contra Costa County, California, located in the East Bay region just north of Richmond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: City of San Pablo
Target entity description: The City of San Pablo is a small, historically working-class municipality in Contra Costa County, California, located in the East Bay region just north of Richmond.
  • A. 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.
  • B. City of Pueblo
    The City of Pueblo is a home-rule municipality in southern Colorado that serves as a regional hub for industry, culture, and transportation along the Arkansas River.
  • C. Rosarito
    Rosarito is a coastal resort city in northern Baja California, Mexico, known for its beaches, tourism, and proximity to the U.S. border.
  • D. San Fernando
    San Fernando is a Philippine city on the island of Luzon known as a regional commercial and administrative center.
  • E. San Fernando
    San Fernando is a principal urban center and agricultural hub in central Chile’s O’Higgins Region.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2f605bc8190a5245aa2ca55cf43 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf5e59588190b9d2bb00adf5c871 completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7d037e4608190a898b872cc3bfd8d completed March 4, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69a7d0b60f6881908060455f4a9b4ec6 completed March 4, 2026, 6:27 a.m.
Created at: March 1, 2026, 7:39 p.m.