Triple

T22637548
Position Surface form Disambiguated ID Type / Status
Subject House of Osuna E558721 entity
Predicate nobleTitleAssociated P914 FINISHED
Object Count of Ureña
The Count of Ureña is a historic Spanish noble title traditionally held by members of the influential House of Osuna.
 E1546971 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: Count of Ureña | Statement: [House of Osuna, nobleTitleAssociated, Count of Ureña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Count of Ureña
Context triple: [House of Osuna, nobleTitleAssociated, Count of Ureña]
  • A. Count of Nieva
    The Count of Nieva is a Spanish noble title historically associated with the influential House of Zúñiga.
  • B. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • C. Juncal
    Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
  • D. Negrete
    Negrete is a small town and commune in Chile’s Biobío Region, known for its rural character and location near the Biobío River.
  • E. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • 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: Count of Ureña
Triple: [House of Osuna, nobleTitleAssociated, Count of Ureña]
Generated description
The Count of Ureña is a historic Spanish noble title traditionally held by members of the influential House of Osuna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Count of Ureña
Target entity description: The Count of Ureña is a historic Spanish noble title traditionally held by members of the influential House of Osuna.
  • A. Count of Nieva
    The Count of Nieva is a Spanish noble title historically associated with the influential House of Zúñiga.
  • B. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • C. Juncal
    Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
  • D. Negrete
    Negrete is a small town and commune in Chile’s Biobío Region, known for its rural character and location near the Biobío River.
  • E. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700edb608190ad786ff7fafea0da completed April 29, 2026, 2:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b585cf2388190b517312dc6172025 completed May 18, 2026, 6:20 p.m.
NEDg Description generation batch_6a0b6f5d272c8190bf66fa372fb2bb7d completed May 18, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7072e43c8190ad8f8d09f61d3f7b completed May 18, 2026, 8:02 p.m.
Created at: April 17, 2026, 3:03 p.m.