Triple

T719097
Position Surface form Disambiguated ID Type / Status
Subject Pascual Cervera y Topete E14376 entity
Predicate familyName P18 FINISHED
Object Cervera
Cervera is a Spanish surname historically associated with notable figures such as Admiral Pascual Cervera y Topete.
 E97309 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: Cervera | Statement: [Pascual Cervera y Topete, familyName, Cervera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cervera
Context triple: [Pascual Cervera y Topete, familyName, Cervera]
  • A. Spínola
    Spínola is a Portuguese surname most prominently associated with António de Spínola, a key military figure and political leader during Portugal’s Carnation Revolution.
  • B. Castro Marim
    Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
  • C. Durán
    Durán is an Ecuadorian city in the Guayas Province, located across the Guayas River from Guayaquil and serving as an important transport and industrial hub.
  • D. Boyeros
    Boyeros is a municipality in Havana, Cuba, known for hosting the country’s main international gateway, José Martí International Airport.
  • E. Barra
    Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
  • 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: Cervera
Triple: [Pascual Cervera y Topete, familyName, Cervera]
Generated description
Cervera is a Spanish surname historically associated with notable figures such as Admiral Pascual Cervera y Topete.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cervera
Target entity description: Cervera is a Spanish surname historically associated with notable figures such as Admiral Pascual Cervera y Topete.
  • A. Spínola
    Spínola is a Portuguese surname most prominently associated with António de Spínola, a key military figure and political leader during Portugal’s Carnation Revolution.
  • B. Castro Marim
    Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
  • C. Durán
    Durán is an Ecuadorian city in the Guayas Province, located across the Guayas River from Guayaquil and serving as an important transport and industrial hub.
  • D. Boyeros
    Boyeros is a municipality in Havana, Cuba, known for hosting the country’s main international gateway, José Martí International Airport.
  • E. Barra
    Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a58d4c3c8190ad4527d14bca5e6e completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d71a25c81908de9b9e59affb79f completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a78586d5a48190a1423bb4a8fc86b9 completed March 4, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69a785db28d48190a8f945598a3396d6 completed March 4, 2026, 1:07 a.m.
Created at: March 1, 2026, 7:37 p.m.