Triple

T11059263
Position Surface form Disambiguated ID Type / Status
Subject Jonas Savimbi E261461 entity
Predicate placeOfDeath P21 FINISHED
Object Lucusse
Lucusse is a town and municipality in eastern Angola, known historically as a site of conflict during the Angolan Civil War.
 E902805 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: Lucusse | Statement: [Jonas Savimbi, placeOfDeath, Lucusse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lucusse
Context triple: [Jonas Savimbi, placeOfDeath, Lucusse]
  • A. Lucéram
    Lucéram is a picturesque medieval village in southeastern France known for its hilltop setting, narrow stone streets, and traditional Provençal character.
  • B. Blumine
    Blumine is an early, lyrical movement originally composed by Gustav Mahler for his Symphony No. 1 in D major, later removed and often performed as a standalone piece.
  • C. Lesath
    Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
  • D. Blaquiere
    Blaquiere was a notable Philhellene known for supporting the Greek struggle for independence in the 19th century.
  • E. Perenaar
    A Perenaar is a person who originates from or is a resident of the place called Peer.
  • 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: Lucusse
Triple: [Jonas Savimbi, placeOfDeath, Lucusse]
Generated description
Lucusse is a town and municipality in eastern Angola, known historically as a site of conflict during the Angolan Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lucusse
Target entity description: Lucusse is a town and municipality in eastern Angola, known historically as a site of conflict during the Angolan Civil War.
  • A. Lucéram
    Lucéram is a picturesque medieval village in southeastern France known for its hilltop setting, narrow stone streets, and traditional Provençal character.
  • B. Blumine
    Blumine is an early, lyrical movement originally composed by Gustav Mahler for his Symphony No. 1 in D major, later removed and often performed as a standalone piece.
  • C. Lesath
    Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
  • D. Blaquiere
    Blaquiere was a notable Philhellene known for supporting the Greek struggle for independence in the 19th century.
  • E. Perenaar
    A Perenaar is a person who originates from or is a resident of the place called Peer.
  • 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.