Triple

T29696612
Position Surface form Disambiguated ID Type / Status
Subject Ukrhydroenergo E751369 entity
Predicate regulator P46 FINISHED
Object Ministry of Energy of Ukraine
The Ministry of Energy of Ukraine is the central government authority responsible for shaping and implementing national policy in the energy sector, including electricity, oil, gas, and renewable resources.
E1879807 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: Ministry of Energy of Ukraine | Statement: [Ukrhydroenergo, regulator, Ministry of Energy of Ukraine]
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: Ministry of Energy of Ukraine
Triple: [Ukrhydroenergo, regulator, Ministry of Energy of Ukraine]
Generated description
The Ministry of Energy of Ukraine is the central government authority responsible for shaping and implementing national policy in the energy sector, including electricity, oil, gas, and renewable resources.

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_69f0d6266f8481909e70bb41cda18587 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672b1186081909861338709be96d8 completed May 2, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a267ed09f1c8190bb45d816e54a716e completed June 8, 2026, 8:35 a.m.
NEDg Description generation batch_6a2682d3fa3c81909e0736cb74338f7e completed June 8, 2026, 8:52 a.m.
NED2 Entity disambiguation (via description) batch_6a26883b773081908ee6cad8a66f0251 completed June 8, 2026, 9:15 a.m.
Created at: April 28, 2026, 7:20 p.m.