Triple

T21012736
Position Surface form Disambiguated ID Type / Status
Subject Lydia Riera E517590 entity
Predicate familyName P18 FINISHED
Object Riera
Riera is a Catalan-origin surname commonly found in Spain and other Spanish-speaking regions.
 E1461715 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: Riera | Statement: [Lydia Riera, familyName, Riera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Riera
Context triple: [Lydia Riera, familyName, Riera]
  • A. Riu Xúquer
    Riu Xúquer is the Valencian-language name for the Júcar River, a major river flowing through eastern Spain into the Mediterranean Sea.
  • B. Ribera
    Ribera was a prominent 17th-century Spanish Baroque painter, known for his dramatic use of light and shadow and intense religious and genre scenes.
  • C. Noguera
    Noguera is a comarca in western Catalonia, Spain, known for its largely rural landscape, historic towns, and agricultural economy.
  • D. Río de las Vueltas
    Río de las Vueltas is a winding Patagonian river in Argentina’s Santa Cruz Province, known for its scenic valleys, glacial waters, and popularity with hikers and photographers around El Chaltén.
  • E. Bermejo
    Bermejo is a Bolivian city in the southern Tarija region, known as a border and trade hub with Argentina and a center for sugarcane and citrus production.
  • 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: Riera
Triple: [Lydia Riera, familyName, Riera]
Generated description
Riera is a Catalan-origin surname commonly found in Spain and other Spanish-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Riera
Target entity description: Riera is a Catalan-origin surname commonly found in Spain and other Spanish-speaking regions.
  • A. Riu Xúquer
    Riu Xúquer is the Valencian-language name for the Júcar River, a major river flowing through eastern Spain into the Mediterranean Sea.
  • B. Ribera
    Ribera was a prominent 17th-century Spanish Baroque painter, known for his dramatic use of light and shadow and intense religious and genre scenes.
  • C. Noguera
    Noguera is a comarca in western Catalonia, Spain, known for its largely rural landscape, historic towns, and agricultural economy.
  • D. Río de las Vueltas
    Río de las Vueltas is a winding Patagonian river in Argentina’s Santa Cruz Province, known for its scenic valleys, glacial waters, and popularity with hikers and photographers around El Chaltén.
  • E. Bermejo
    Bermejo is a Bolivian city in the southern Tarija region, known as a border and trade hub with Argentina and a center for sugarcane and citrus production.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc41d57881908b9ab17d1844a8d0 completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a093b6369fc81909ff15a48a8a640e2 completed May 17, 2026, 3:52 a.m.
NEDg Description generation batch_6a093ed7f68c8190b175251a158cbcc1 completed May 17, 2026, 4:06 a.m.
NED2 Entity disambiguation (via description) batch_6a093f3ba1f88190ae07076c83bd0517 completed May 17, 2026, 4:08 a.m.
Created at: April 16, 2026, 1:53 p.m.