Triple

T11059293
Position Surface form Disambiguated ID Type / Status
Subject Jonas Savimbi E261461 entity
Predicate burialPlace P196 FINISHED
Object Luena
Luena is a city in eastern Angola that served as a significant site during the Angolan Civil War and later became known as the burial place of UNITA leader Jonas Savimbi.
 E902807 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: Luena | Statement: [Jonas Savimbi, burialPlace, Luena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luena
Context triple: [Jonas Savimbi, burialPlace, Luena]
  • A. Cuencamé
    Cuencamé is a municipality and town in the Mexican state of Durango, historically part of the colonial province of Nueva Vizcaya.
  • B. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • C. Montefrío
    Montefrío is a picturesque Andalusian town in southern Spain, renowned for its dramatic hilltop setting, whitewashed houses, and historic church and castle overlooking surrounding olive groves.
  • D. Peñafiel
    Peñafiel is a historic town in Spain renowned for its medieval castle and wine-making tradition in the Ribera del Duero region.
  • E. Lajeado
    Lajeado is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
  • 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: Luena
Triple: [Jonas Savimbi, burialPlace, Luena]
Generated description
Luena is a city in eastern Angola that served as a significant site during the Angolan Civil War and later became known as the burial place of UNITA leader Jonas Savimbi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luena
Target entity description: Luena is a city in eastern Angola that served as a significant site during the Angolan Civil War and later became known as the burial place of UNITA leader Jonas Savimbi.
  • A. Cuencamé
    Cuencamé is a municipality and town in the Mexican state of Durango, historically part of the colonial province of Nueva Vizcaya.
  • B. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • C. Montefrío
    Montefrío is a picturesque Andalusian town in southern Spain, renowned for its dramatic hilltop setting, whitewashed houses, and historic church and castle overlooking surrounding olive groves.
  • D. Peñafiel
    Peñafiel is a historic town in Spain renowned for its medieval castle and wine-making tradition in the Ribera del Duero region.
  • E. Lajeado
    Lajeado is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a4f3f88190a29710f64cef9d25 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c87ab0308190a6a6ada1708f0ec2 completed April 18, 2026, 6:07 p.m.
NEDg Description generation batch_69e3cefc00148190a1850dc6e31523c3 completed April 18, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69e3d014a644819092c76aa02b573ca9 completed April 18, 2026, 6:40 p.m.
Created at: April 8, 2026, 9:26 p.m.