Triple
T325783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Age Pensions Act 1908 |
E6514
|
entity |
| Predicate | exclusionCriterion |
P3119
|
FINISHED |
| Object | receipt of poor relief |
—
|
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: receipt of poor relief | Statement: [Old Age Pensions Act 1908, exclusionCriterion, receipt of poor relief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exclusionCriterion Context triple: [Old Age Pensions Act 1908, exclusionCriterion, receipt of poor relief]
-
A.
excludes
chosen
Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
-
B.
excludesRegion
Indicates that one entity explicitly omits, leaves out, or does not apply to a specified region or geographic area.
-
C.
exemptionType
Indicates the specific category or kind of exemption that applies in a given context.
-
D.
selectionCriteria
Indicates the conditions or rules used to choose certain entities from a larger set.
-
E.
eligibilityCriteria
Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
- 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.