Triple
T325810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Age Pensions Act 1908 |
E6514
|
entity |
| Predicate | pensionPaymentFrequency |
P7407
|
FINISHED |
| Object | weekly payments |
—
|
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: weekly payments | Statement: [Old Age Pensions Act 1908, pensionPaymentFrequency, weekly payments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pensionPaymentFrequency Context triple: [Old Age Pensions Act 1908, pensionPaymentFrequency, weekly payments]
-
A.
receivesPensionFrom
Indicates that one entity is the source or provider of a pension that another entity receives.
-
B.
pensionAmount
Indicates the specific monetary value of a pension that is assigned to or received by an entity.
-
C.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
-
D.
retirementPeriod
Indicates the time span during which an entity is considered to be retired or in retirement status.
-
E.
tienePeriodicidad
chosen
Indicates that something occurs, recurs, or is scheduled with a specific regular frequency or periodic pattern.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1a37c08190b1380f6bf8513a37 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e949364c8190bc2351f5413f5057 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.