Triple
T20316995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Additional State Pension |
E510404
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | SERPS |
—
|
NE NERFINISHED |
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: SERPS | Statement: [Additional State Pension, hasComponent, SERPS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SERPS Context triple: [Additional State Pension, hasComponent, SERPS]
-
A.
SERPS
chosen
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.
-
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.
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.
-
E.
SER
SER is the commonly used abbreviation for South Eastern Railway, a major railway zone in India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 11:19 a.m.