Triple

T29056652

Position	Surface form	Disambiguated ID	Type / Status
Subject	Energy Act 2011	`E735404`	entity
Predicate	createsScheme	`P4328`	FINISHED
Object	Green Deal The Green Deal was a UK government initiative aimed at improving energy efficiency in homes and businesses by enabling property owners to fund energy-saving improvements through savings on their energy bills.	`E1848461`	NE FINISHED

How this triple was built (3 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: Green Deal | Statement: [Energy Act 2011, createsScheme, Green Deal]

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: Green Deal
Triple: [Energy Act 2011, createsScheme, Green Deal]

Generated description

The Green Deal was a UK government initiative aimed at improving energy efficiency in homes and businesses by enabling property owners to fund energy-saving improvements through savings on their energy bills.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: createsScheme
Context triple: [Energy Act 2011, createsScheme, Green Deal]

A. catalogueSystemCreator
Indicates that an entity is the creator or originator of a particular catalogue system.
B. creationType
Indicates the manner or process by which something was brought into existence or produced.
C. createdEntityType
Indicates the type or category of entity that was produced or brought into existence as a result of the creation action.
D. createdProgram
Indicates that an entity authored, developed, or produced a particular program (such as software or a coded application).
E. createdRegimeOf chosen
Indicates that one entity brought about, established, or was responsible for the formation of a particular regime or system of rule for another entity.
F. None of above.

Provenance (6 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_69f077e64b88819094d37bdbca8191b3`	completed	April 28, 2026, 9:03 a.m.
NER	Named-entity recognition	`batch_69fd44474ed48190ac372e4c88d762ed`	completed	May 8, 2026, 2:02 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a251f7bc5988190b8f64ef8a28777e6`	completed	June 7, 2026, 7:36 a.m.
NEDg	Description generation	`batch_6a25239d75fc819097fecb8edcd63e80`	completed	June 7, 2026, 7:54 a.m.
NED2	Entity disambiguation (via description)	`batch_6a25283e68608190a5f0b319c8028258`	completed	June 7, 2026, 8:13 a.m.
PD	Predicate disambiguation	`batch_69fd41ef28a48190a66959be5c964461`	completed	May 8, 2026, 1:52 a.m.

Created at: April 28, 2026, 10:12 a.m.