Triple

T15598261
Position Surface form Disambiguated ID Type / Status
Subject Ana de Velasco y Girón E374962 entity
Predicate familyName P18 FINISHED
Object Girón
Girón is a Spanish noble surname historically associated with prominent aristocratic families in Spain.
 E1166533 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: Girón | Statement: [Ana de Velasco y Girón, familyName, Girón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Girón
Context triple: [Ana de Velasco y Girón, familyName, Girón]
  • A. Girón
    Girón is a historic colonial-era town and municipality in northeastern Colombia, renowned for its preserved whitewashed architecture and cobblestone streets.
  • B. Girón
    Girón is a small town in southern Ecuador known for its colonial architecture, Andean landscapes, and historical significance within Azuay Province.
  • C. San Gil
    San Gil is a popular Colombian town in the Santander Department known as an adventure tourism hub for activities like rafting, caving, and paragliding.
  • D. Ubaque
    Ubaque is a municipality in central Colombia known for its rural Andean landscapes and traditional agricultural communities.
  • E. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • 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: Girón
Triple: [Ana de Velasco y Girón, familyName, Girón]
Generated description
Girón is a Spanish noble surname historically associated with prominent aristocratic families in Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Girón
Target entity description: Girón is a Spanish noble surname historically associated with prominent aristocratic families in Spain.
  • A. Girón
    Girón is a historic colonial-era town and municipality in northeastern Colombia, renowned for its preserved whitewashed architecture and cobblestone streets.
  • B. Girón
    Girón is a small town in southern Ecuador known for its colonial architecture, Andean landscapes, and historical significance within Azuay Province.
  • C. San Gil
    San Gil is a popular Colombian town in the Santander Department known as an adventure tourism hub for activities like rafting, caving, and paragliding.
  • D. Ubaque
    Ubaque is a municipality in central Colombia known for its rural Andean landscapes and traditional agricultural communities.
  • E. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e609ab081909feb486a57439960 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56ccc40c8190a3b1339404e6897f completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff581a25008190b7be08a93d798522 completed May 9, 2026, 3:51 p.m.
NED2 Entity disambiguation (via description) batch_69ff58ad35108190a0549d3d81e6851e completed May 9, 2026, 3:54 p.m.
Created at: April 10, 2026, 4:12 a.m.