Triple

T28830675
Position Surface form Disambiguated ID Type / Status
Subject Sudan national power grid E728039 entity
Predicate regulatedBy P86 FINISHED
Object energy authorities of Sudan
The energy authorities of Sudan are the governmental bodies responsible for overseeing, regulating, and planning the country’s electricity and broader energy sector.
 E1835100 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: energy authorities of Sudan | Statement: [Sudan national power grid, regulatedBy, energy authorities of Sudan]
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: energy authorities of Sudan
Triple: [Sudan national power grid, regulatedBy, energy authorities of Sudan]
Generated description
The energy authorities of Sudan are the governmental bodies responsible for overseeing, regulating, and planning the country’s electricity and broader energy 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_69f0319dc6088190bbfaa206d40ed74a completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f6593b9f78819093476a4053ae3645 completed May 2, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bbac8760819097a75cf6d6544216 completed June 7, 2026, 12:30 a.m.
NEDg Description generation batch_6a24bfb12e9081908cc024a5505788c8 completed June 7, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_6a24c03f31988190a1a56d0a4a0f08f6 completed June 7, 2026, 12:50 a.m.
Created at: April 28, 2026, 6:37 a.m.