Triple
T23420328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RRIF |
E560631
|
entity |
| Predicate | mustCollapseRRSPByAge |
P152208
|
FINISHED |
| Object | 71 |
—
|
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: 71 | Statement: [RRIF, mustCollapseRRSPByAge, 71]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustCollapseRRSPByAge Context triple: [RRIF, mustCollapseRRSPByAge, 71]
-
A.
mandatoryRetirementAge
Indicates the age at which an individual is required by rule or policy to retire from a position or role.
-
B.
hasDelayedRetirementCreditAgeLimit
Indicates the maximum age up to which delayed retirement credits can be accrued or applied.
-
C.
appliesToRetirementStatus
Indicates that the subject is relevant or applicable specifically to an entity’s retirement status or condition.
-
D.
hasFullRetirementAgeRange
Indicates that there is a defined span of ages during which an entity is considered to have reached full retirement status.
-
E.
associatedWithRetirement
Indicates a relationship in which something is connected to, involved in, or relevant to the state, process, or context of retirement.
- F. None of above. chosen
Provenance (4 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54605dc81909aad9834ef6ff8a1 |
completed | April 29, 2026, 6:29 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:44 p.m.