Triple
T2606128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold Weather Payment |
E58661
|
entity |
| Predicate | affectsOtherBenefits |
P25446
|
FINISHED |
| Object | does not usually affect other benefits |
—
|
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: does not usually affect other benefits | Statement: [Cold Weather Payment, affectsOtherBenefits, does not usually affect other benefits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsOtherBenefits Context triple: [Cold Weather Payment, affectsOtherBenefits, does not usually affect other benefits]
-
A.
hasBenefit
Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
-
B.
mayAffectEligibility
chosen
Indicates that one entity has the potential to change, positively or negatively, another entity’s qualification or eligibility status for something.
-
C.
areAffectedBy
Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
-
D.
allianceBenefitScope
Indicates the range or extent of advantages, services, or privileges that are provided or shared under an alliance relationship between parties.
-
E.
benefitsCause
Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or cause.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:49 p.m.