Triple

T559302
Position Surface form Disambiguated ID Type / Status
Subject Mozambique E13411 entity
Predicate hasSignificantLanguage P207 FINISHED
Object Sena
Sena is a Bantu language spoken primarily along the Zambezi River region of central Mozambique and parts of neighboring countries.
 E79208 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: Sena | Statement: [Mozambique, hasSignificantLanguage, Sena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sena
Context triple: [Mozambique, hasSignificantLanguage, Sena]
  • A. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • B. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • C. Guttera
    Guttera is a genus of guineafowl known for its distinctive crested head and spotted plumage, native to sub-Saharan Africa.
  • D. Soter
    Soter is a Greek term meaning "savior" or "deliverer," often used as a title for deities or revered figures who provide salvation or protection.
  • E. Gama
    Gama is a surname most famously associated with the Portuguese explorer Vasco da Gama, who pioneered the sea route from Europe to India.
  • 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: Sena
Triple: [Mozambique, hasSignificantLanguage, Sena]
Generated description
Sena is a Bantu language spoken primarily along the Zambezi River region of central Mozambique and parts of neighboring countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sena
Target entity description: Sena is a Bantu language spoken primarily along the Zambezi River region of central Mozambique and parts of neighboring countries.
  • A. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • B. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • C. Guttera
    Guttera is a genus of guineafowl known for its distinctive crested head and spotted plumage, native to sub-Saharan Africa.
  • D. Soter
    Soter is a Greek term meaning "savior" or "deliverer," often used as a title for deities or revered figures who provide salvation or protection.
  • E. Gama
    Gama is a surname most famously associated with the Portuguese explorer Vasco da Gama, who pioneered the sea route from Europe to India.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499df43f08190b514a38d36fc271d completed March 1, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56c475ce88190bf16e5ee76f1d3b5 completed March 2, 2026, 10:53 a.m.
NEDg Description generation batch_69a56cdb8bd08190ac98f36a134d78d5 completed March 2, 2026, 10:56 a.m.
NED2 Entity disambiguation (via description) batch_69a56d8713a88190ba3ad6585e64db23 completed March 2, 2026, 10:59 a.m.
Created at: March 1, 2026, 7:32 p.m.