Triple

T20316949
Position Surface form Disambiguated ID Type / Status
Subject Basic State Pension E510403 entity
Predicate canBeIncreasedBy P17547 FINISHED
Object SERPS
SERPS (State Earnings-Related Pension Scheme) was a UK government pension program that provided additional, earnings-linked retirement income on top of the basic state pension.
E1423601 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: SERPS | Statement: [Basic State Pension, canBeIncreasedBy, SERPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SERPS
Context triple: [Basic State Pension, canBeIncreasedBy, SERPS]
  • A. ERS
    ERS is a hybrid Formula 1 power unit component that recovers and stores energy from braking and exhaust heat to provide additional electrical power for improved performance and efficiency.
  • B. ERS
    ERS is the principal economic and social science research agency of the U.S. Department of Agriculture, providing data and analysis on agriculture, food, the environment, and rural development.
  • C. ERS
    ERS is the abbreviation for the Elmira River Sharks, a professional ice hockey team based in Elmira, New York.
  • D. SER
    SER is the commonly used abbreviation for South Eastern Railway, a major railway zone in India.
  • E. SEREB
    SEREB was a French aerospace company involved in the development of ballistic missiles and space launch vehicles before being merged into Aérospatiale.
  • 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: SERPS
Triple: [Basic State Pension, canBeIncreasedBy, SERPS]
Generated description
SERPS (State Earnings-Related Pension Scheme) was a UK government pension program that provided additional, earnings-linked retirement income on top of the basic state pension.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SERPS
Target entity description: SERPS (State Earnings-Related Pension Scheme) was a UK government pension program that provided additional, earnings-linked retirement income on top of the basic state pension.
  • A. ERS
    ERS is a hybrid Formula 1 power unit component that recovers and stores energy from braking and exhaust heat to provide additional electrical power for improved performance and efficiency.
  • B. ERS
    ERS is the principal economic and social science research agency of the U.S. Department of Agriculture, providing data and analysis on agriculture, food, the environment, and rural development.
  • C. ERS
    ERS is the abbreviation for the Elmira River Sharks, a professional ice hockey team based in Elmira, New York.
  • D. SER
    SER is the commonly used abbreviation for South Eastern Railway, a major railway zone in India.
  • E. SEREB
    SEREB was a French aerospace company involved in the development of ballistic missiles and space launch vehicles before being merged into Aérospatiale.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67788ca3c8190a3496fd54a5870d6 completed April 20, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0861246f188190a0ffb84a61a7d8c1 completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a08627316d48190ab6f2f2cedd9b1db completed May 16, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a086317d0888190809268c3b8b95f6f completed May 16, 2026, 12:29 p.m.
Created at: April 16, 2026, 11:19 a.m.