Triple

T12838356
Position Surface form Disambiguated ID Type / Status
Subject Sorocaba E306978 entity
Predicate demographicDesignation P2263 FINISHED
Object sorocabano
Sorocabano is the term used to refer to people or things originating from the city of Sorocaba in the state of São Paulo, Brazil.
 E1004129 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: sorocabano | Statement: [Sorocaba, demographicDesignation, sorocabano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: sorocabano
Context triple: [Sorocaba, demographicDesignation, sorocabano]
  • A. Sambuceto
    Sambuceto is a locality in the Abruzzo region of Italy that forms part of the urban and economic area surrounding the cities of Pescara and Chieti.
  • B. Sarbox
    Sarbox is a common shorthand for the Sarbanes–Oxley Act of 2002, a U.S. federal law that overhauled corporate governance and financial reporting requirements to protect investors from accounting fraud.
  • C. Sorubim
    Sorubim is a genus of long-whiskered freshwater catfish native to South American river systems, known for their elongated bodies and importance in local fisheries.
  • D. Shambuko
    Shambuko is a town and administrative center located in the Gash-Barka region of western Eritrea.
  • E. Socor
    Socor is a component or segment of the larger work or entity known as "No Long Thing."
  • 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: sorocabano
Triple: [Sorocaba, demographicDesignation, sorocabano]
Generated description
Sorocabano is the term used to refer to people or things originating from the city of Sorocaba in the state of São Paulo, Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: sorocabano
Target entity description: Sorocabano is the term used to refer to people or things originating from the city of Sorocaba in the state of São Paulo, Brazil.
  • A. Sambuceto
    Sambuceto is a locality in the Abruzzo region of Italy that forms part of the urban and economic area surrounding the cities of Pescara and Chieti.
  • B. Sarbox
    Sarbox is a common shorthand for the Sarbanes–Oxley Act of 2002, a U.S. federal law that overhauled corporate governance and financial reporting requirements to protect investors from accounting fraud.
  • C. Sorubim
    Sorubim is a genus of long-whiskered freshwater catfish native to South American river systems, known for their elongated bodies and importance in local fisheries.
  • D. Shambuko
    Shambuko is a town and administrative center located in the Gash-Barka region of western Eritrea.
  • E. Socor
    Socor is a component or segment of the larger work or entity known as "No Long Thing."
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff11b4481909fb2f92c46186853 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edd30e881909062e8f91f614990 completed May 2, 2026, 11:55 p.m.
NEDg Description generation batch_69f68f8d2ca08190a385635fb6130a9f completed May 2, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_69f69033a66481908bf4ae23fced5983 completed May 3, 2026, midnight
Created at: April 9, 2026, 5:35 p.m.