Triple
T5542776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coronavirus Job Retention Scheme |
E145329
|
entity |
| Predicate | initialWageSupportCapPerMonth |
P37671
|
FINISHED |
| Object | 2500 GBP |
—
|
LITERAL 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: 2500 GBP | Statement: [Coronavirus Job Retention Scheme, initialWageSupportCapPerMonth, 2500 GBP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialWageSupportCapPerMonth Context triple: [Coronavirus Job Retention Scheme, initialWageSupportCapPerMonth, 2500 GBP]
-
A.
benefitCapApplies
Indicates that a limit or maximum cap on benefits is in effect for the relevant coverage, claim, or situation.
-
B.
maximumGrantAmount
chosen
Indicates the highest monetary value that can be awarded or granted under a specific grant, program, or agreement.
-
C.
finalFederalMinimumWage
Indicates the legally mandated lowest hourly wage that must be paid to most workers under federal law.
-
D.
statutoryLimitPerIncidentUSD
Indicates the maximum monetary amount, in U.S. dollars, that is legally allowed to be claimed or paid for a single incident under a specific statute or regulation.
-
E.
maximumLoanAmountUSD
Indicates the highest amount of money, expressed in U.S. dollars, that can be loaned under a given agreement or condition.
- F. None of above.
Provenance (3 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fc947bc81908d1f7b709392ec20 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:35 p.m.