Triple

T11186441
Position Surface form Disambiguated ID Type / Status
Subject León de Greiff E264679 entity
Predicate givenName P17 FINISHED
Object León
León is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries and derived from the word for "lion."
 E922604 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: León | Statement: [León de Greiff, givenName, León]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: León
Context triple: [León de Greiff, givenName, León]
  • A. León
    León is a historic city and former kingdom in northwestern Spain, renowned for its medieval architecture and significant role in the formation of the Spanish state.
  • B. León
    León is a historic city in western Nicaragua known for its colonial architecture, vibrant cultural life, and role as an intellectual and political center of the country.
  • C. León
    León is a historic and successful Mexican professional football club known for its multiple Liga MX titles and passionate fan base.
  • D. León
    León is a major industrial and commercial city in central Mexico, renowned especially for its leather and footwear production.
  • E. Ávila
    Ávila is a historic walled city in central Spain, renowned for its remarkably well-preserved medieval fortifications and Romanesque and Gothic architecture.
  • 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: León
Triple: [León de Greiff, givenName, León]
Generated description
León is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries and derived from the word for "lion."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: León
Target entity description: León is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries and derived from the word for "lion."
  • A. León
    León is a historic city and former kingdom in northwestern Spain, renowned for its medieval architecture and significant role in the formation of the Spanish state.
  • B. León
    León is a historic city in western Nicaragua known for its colonial architecture, vibrant cultural life, and role as an intellectual and political center of the country.
  • C. León
    León is a historic and successful Mexican professional football club known for its multiple Liga MX titles and passionate fan base.
  • D. León
    León is a major industrial and commercial city in central Mexico, renowned especially for its leather and footwear production.
  • E. Ávila
    Ávila is a historic walled city in central Spain, renowned for its remarkably well-preserved medieval fortifications and Romanesque and Gothic architecture.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8abbeac8190ad6e419258999f4e completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58ac418f08190b2936e8dbf9fb27d completed April 20, 2026, 2:09 a.m.
NEDg Description generation batch_69e59323c5948190bc2c9512f7b0a54f completed April 20, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69e599c53704819097c0fdbbfbbb1e87 completed April 20, 2026, 3:13 a.m.
Created at: April 8, 2026, 9:29 p.m.