Triple

T6763983
Position Surface form Disambiguated ID Type / Status
Subject Talavera de la Reina E154668 entity
Predicate hasMayor P185 FINISHED
Object José Julián Gregorio (note: may change over time)
José Julián Gregorio is a Spanish politician who has served as the mayor of the city of Talavera de la Reina.
E618073 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: José Julián Gregorio (note: may change over time) | Statement: [Talavera de la Reina, hasMayor, José Julián Gregorio (note: may change over time)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José Julián Gregorio (note: may change over time)
Context triple: [Talavera de la Reina, hasMayor, José Julián Gregorio (note: may change over time)]
  • A. Julio Antonio
    Julio Antonio was a prominent early 20th-century Cuban Marxist revolutionary and co-founder of the original Cuban Communist Party.
  • B. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • C. José Julián
    José Julián is the given first name of José Martí, the renowned Cuban national hero, writer, and independence leader.
  • D. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • E. José
    José is the given first name of former Major League Baseball player and coach Joey Cora.
  • 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: José Julián Gregorio (note: may change over time)
Triple: [Talavera de la Reina, hasMayor, José Julián Gregorio (note: may change over time)]
Generated description
José Julián Gregorio is a Spanish politician who has served as the mayor of the city of Talavera de la Reina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: José Julián Gregorio (note: may change over time)
Target entity description: José Julián Gregorio is a Spanish politician who has served as the mayor of the city of Talavera de la Reina.
  • A. Julio Antonio
    Julio Antonio was a prominent early 20th-century Cuban Marxist revolutionary and co-founder of the original Cuban Communist Party.
  • B. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • C. José Julián
    José Julián is the given first name of José Martí, the renowned Cuban national hero, writer, and independence leader.
  • D. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • E. José
    José is the given first name of former Major League Baseball player and coach Joey Cora.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d217bbfc81908c9e55efaf7f8594 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712b9e7f081909d9fcc219ac525b8 completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c71396f1f88190b3316e694424a2fe completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7146413748190b844d9422dce42c2 completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:12 p.m.