Triple

T7323915
Position Surface form Disambiguated ID Type / Status
Subject Committee on Budgets E168819 entity
Predicate shortName P43 FINISHED
Object BUDG
BUDG is the European Parliament’s Committee on Budgets, responsible for overseeing and shaping the European Union’s budgetary policy and expenditures.
 E657657 NE FINISHED

How this triple was built (4 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: BUDG | Statement: [Committee on Budgets, shortName, BUDG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BUDG
Context triple: [Committee on Budgets, shortName, BUDG]
  • A. BUDG
    BUDG is the European Commission’s Directorate-General responsible for preparing and managing the EU’s budget and ensuring sound financial management.
  • B. BUD
    BUD is the IATA airport code for Budapest Ferenc Liszt International Airport, the main international gateway to Hungary’s capital city.
  • C. BUK
    BUK is a major Nigerian federal university located in Kano, known for its wide range of academic programs and research activities.
  • D. BND
    BND is the official currency code for the Brunei dollar, the national currency of Brunei Darussalam.
  • E. BND
    BND is the three-letter station code used to identify Bond Street station on the London Underground network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: BUDG
Triple: [Committee on Budgets, shortName, BUDG]
Generated description
BUDG is the European Parliament’s Committee on Budgets, responsible for overseeing and shaping the European Union’s budgetary policy and expenditures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BUDG
Target entity description: BUDG is the European Parliament’s Committee on Budgets, responsible for overseeing and shaping the European Union’s budgetary policy and expenditures.
  • A. BUDG
    BUDG is the European Commission’s Directorate-General responsible for preparing and managing the EU’s budget and ensuring sound financial management.
  • B. BUD
    BUD is the IATA airport code for Budapest Ferenc Liszt International Airport, the main international gateway to Hungary’s capital city.
  • C. BUK
    BUK is a major Nigerian federal university located in Kano, known for its wide range of academic programs and research activities.
  • D. BND
    BND is the official currency code for the Brunei dollar, the national currency of Brunei Darussalam.
  • E. BND
    BND is the three-letter station code used to identify Bond Street station on the London Underground network.
  • F. None of above. chosen

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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f046b93c8190a80dd48ee409ec5d completed March 27, 2026, 9:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef0a1200819089fe3e18493d8bee completed March 28, 2026, 3:08 p.m.
NEDg Description generation batch_69c7ef7f7b7c8190b3361cc01b2eefc0 completed March 28, 2026, 3:10 p.m.
NED2 Entity disambiguation (via description) batch_69c7f380dbe48190933e1eeff109185d completed March 28, 2026, 3:28 p.m.
Created at: March 27, 2026, 3:03 p.m.