Triple
T12535003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Social Security retirement benefits |
E299664
|
entity |
| Predicate | hasFullRetirementAgeRange |
P105765
|
FINISHED |
| Object | age 66 to 67 depending on birth year |
—
|
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: age 66 to 67 depending on birth year | Statement: [Social Security retirement benefits, hasFullRetirementAgeRange, age 66 to 67 depending on birth year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFullRetirementAgeRange Context triple: [Social Security retirement benefits, hasFullRetirementAgeRange, age 66 to 67 depending on birth year]
-
A.
mandatoryRetirementAge
Indicates the age at which an individual is required by rule or policy to retire from a position or role.
-
B.
appliesToRetirementStatus
Indicates that the subject is relevant or applicable specifically to an entity’s retirement status or condition.
-
C.
retirementPeriod
Indicates the time span during which an entity is considered to be retired or in retirement status.
-
D.
retirementYear
Indicates the specific year in which an entity retires or is officially considered retired.
-
E.
earliestRetirementPensionStartAge
Indicates the minimum age at which an individual is first allowed to begin receiving retirement pension benefits.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.