Triple

T25790412

Position	Surface form	Disambiguated ID	Type / Status
Subject	Housing Corporation	`E649531`	entity
Predicate	fundingProgramme	`P5159`	FINISHED
Object	Social Housing Grant Social Housing Grant is a UK government funding programme that provides financial support for the development of affordable and social housing.	`E1695629`	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: Social Housing Grant | Statement: [Housing Corporation, fundingProgramme, Social Housing Grant]

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: Social Housing Grant
Triple: [Housing Corporation, fundingProgramme, Social Housing Grant]

Generated description

Social Housing Grant is a UK government funding programme that provides financial support for the development of affordable and social housing.

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

Target predicate: fundingProgramme
Context triple: [Housing Corporation, fundingProgramme, Social Housing Grant]

A. fundingFramework
Indicates that one entity provides the structural or regulatory basis that governs how funding is allocated, managed, or distributed to another entity or activity.
B. grantProgram chosen
Indicates that an entity administers or is associated with a structured grant-based funding program.
C. supportingProgram
Indicates that one program provides assistance, resources, or backing to another program or initiative.
D. fundingComponent
Indicates that one entity serves as a financial contributor or funding source for another entity or activity.
E. agencyProgramme
Indicates that an agency is responsible for, manages, or is associated with a particular programme.
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_69e7ab33e9308190afe415dc6f9e8876`	completed	April 21, 2026, 4:52 p.m.
NER	Named-entity recognition	`batch_69f600c18a14819081b5914dd3b0f9cf`	completed	May 2, 2026, 1:48 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10cc2d79e4819082b3d02f07dd5f87`	completed	May 22, 2026, 9:35 p.m.
NEDg	Description generation	`batch_6a10ccd356308190a6ab8b220efc0e7b`	completed	May 22, 2026, 9:38 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10ce00cda08190a1534b9ce1cf896a`	completed	May 22, 2026, 9:43 p.m.
PD	Predicate disambiguation	`batch_69f5f7fba5248190945acf1561280799`	completed	May 2, 2026, 1:11 p.m.

Created at: April 22, 2026, 5:58 a.m.