Triple

T29643916
Position Surface form Disambiguated ID Type / Status
Subject Government of Togo E755938 entity
Predicate positionInGovernment P2259 FINISHED
Object Minister of Digital Economy
The Minister of Digital Economy is the Togolese government official responsible for shaping and overseeing national policies on digital transformation, information and communication technologies, and the development of the digital sector.
E1876711 NE FINISHED

How this triple was built (2 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: Minister of Digital Economy | Statement: [Government of Togo, positionInGovernment, Minister of Digital Economy]
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: Minister of Digital Economy
Triple: [Government of Togo, positionInGovernment, Minister of Digital Economy]
Generated description
The Minister of Digital Economy is the Togolese government official responsible for shaping and overseeing national policies on digital transformation, information and communication technologies, and the development of the digital sector.

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_69f0ef89d2c88190a6d0d5116ccd7cc9 completed April 28, 2026, 5:34 p.m.
NER Named-entity recognition batch_69f66ed17d308190bbeedd391eca095e completed May 2, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a266180a97c8190b441a600dce0f756 completed June 8, 2026, 6:30 a.m.
NEDg Description generation batch_6a2666a571948190916a9c87699f9e1c completed June 8, 2026, 6:52 a.m.
NED2 Entity disambiguation (via description) batch_6a266aaa2b48819095346ea9192eaca6 completed June 8, 2026, 7:09 a.m.
Created at: April 28, 2026, 6:48 p.m.