Triple

T28484819
Position Surface form Disambiguated ID Type / Status
Subject First May ministry E720798 entity
Predicate budgetaryPeriodWithin P4343 FINISHED
Object 2017–18 United Kingdom budget
The 2017–18 United Kingdom budget was the UK government’s annual financial statement and spending plan for the 2017–2018 fiscal year, presented under Prime Minister Theresa May’s administration.
E5285 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: 2017–18 United Kingdom budget | Statement: [First May ministry, budgetaryPeriodWithin, 2017–18 United Kingdom budget]
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: 2017–18 United Kingdom budget
Triple: [First May ministry, budgetaryPeriodWithin, 2017–18 United Kingdom budget]
Generated description
The 2017–18 United Kingdom budget was the UK government’s annual financial statement and spending plan for the 2017–2018 fiscal year, presented under Prime Minister Theresa May’s administration.

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_69f01a5a47148190b0a7e111bc432e0a completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f6576569bc8190b0eb1f0fde785c14 completed May 2, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cac43ebe881909079248f98ac93be completed May 31, 2026, 9:46 p.m.
NEDg Description generation batch_6a1cacd14e048190b6a26e9b5750dff8 completed May 31, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_6a1cadd09b908190afc24c7665a804c4 completed May 31, 2026, 9:53 p.m.
Created at: April 28, 2026, 2:57 a.m.