Triple

T34131718
Position Surface form Disambiguated ID Type / Status
Subject Tihange nuclear power station E875441 entity
Predicate partOf P40 FINISHED
Object Belgian nuclear power program
The Belgian nuclear power program is Belgium’s national initiative to generate electricity using nuclear reactors, encompassing multiple power stations, regulatory frameworks, and long-term energy policies.
E2082758 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: Belgian nuclear power program | Statement: [Tihange nuclear power station, partOf, Belgian nuclear power program]
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: Belgian nuclear power program
Triple: [Tihange nuclear power station, partOf, Belgian nuclear power program]
Generated description
The Belgian nuclear power program is Belgium’s national initiative to generate electricity using nuclear reactors, encompassing multiple power stations, regulatory frameworks, and long-term energy policies.

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_69f349aa33848190a2e6c5e4533c8444 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70f6e76788190b8a99d10db0469a0 completed May 3, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36b7794f8481908da523cce7f3de9a completed June 20, 2026, 3:53 p.m.
NEDg Description generation batch_6a36b87f1f708190b614fff40848f7df completed June 20, 2026, 3:57 p.m.
NED2 Entity disambiguation (via description) batch_6a36ba04a9dc8190ad40707e53ace732 completed June 20, 2026, 4:04 p.m.
Created at: May 1, 2026, 1:53 a.m.