Triple

T6712766
Position Surface form Disambiguated ID Type / Status
Subject Nadezhda E153186 entity
Predicate equivalentInLanguage P28329 FINISHED
Object Esperanza (Spanish)
Esperanza (Spanish) is a feminine given name meaning "hope," commonly used in Spanish-speaking countries.
E613470 NE FINISHED

How this triple was built (5 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: Esperanza (Spanish) | Statement: [Nadezhda, equivalentInLanguage, Esperanza (Spanish)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esperanza (Spanish)
Context triple: [Nadezhda, equivalentInLanguage, Esperanza (Spanish)]
  • A. Esperanza
    Esperanza is a municipality located in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and diverse cultural communities.
  • B. Esperanza
    Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
  • C. Marta (Spanish)
    Marta is the Spanish given name equivalent to Martha, commonly used in Spanish-speaking countries.
  • D. El Latino
    El Latino is the popular nickname of Estadio Latinoamericano, the iconic baseball stadium in Havana, Cuba.
  • E. Amparo
    Amparo is a municipality in the interior of Brazil known for its historical architecture and role in the coffee-producing region of the state of São Paulo.
  • 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: Esperanza (Spanish)
Triple: [Nadezhda, equivalentInLanguage, Esperanza (Spanish)]
Generated description
Esperanza (Spanish) is a feminine given name meaning "hope," commonly used in Spanish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Esperanza (Spanish)
Target entity description: Esperanza (Spanish) is a feminine given name meaning "hope," commonly used in Spanish-speaking countries.
  • A. Esperanza
    Esperanza is a municipality located in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and diverse cultural communities.
  • B. Esperanza
    Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
  • C. Marta (Spanish)
    Marta is the Spanish given name equivalent to Martha, commonly used in Spanish-speaking countries.
  • D. El Latino
    El Latino is the popular nickname of Estadio Latinoamericano, the iconic baseball stadium in Havana, Cuba.
  • E. Amparo
    Amparo is a municipality in the interior of Brazil known for its historical architecture and role in the coffee-producing region of the state of São Paulo.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: equivalentInLanguage
Context triple: [Nadezhda, equivalentInLanguage, Esperanza (Spanish)]
  • A. languageEquivalent chosen
    Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
  • B. equivalentIn
    Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
  • C. equivalentInZapotec
    Indicates that two linguistic elements are equivalent in meaning or function within the Zapotec language.
  • D. isLanguageOf
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • E. isLinguaFrancaOf
    Indicates that a language serves as a common medium of communication between speakers of different native languages within a particular region, community, or context.
  • F. None of above.

Provenance (6 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d121a92c8190a03f384a8aba84da completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700948788819087f9b466be337286 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c703ad7e0c81908da32c96806f3b07 completed March 27, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69c7042f23408190b06faafcb3251276 completed March 27, 2026, 10:26 p.m.
PD Predicate disambiguation batch_69c6d08c5d348190a29dee668c398e70 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:07 p.m.