Triple
T13889453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BPS-1 |
E333930
|
entity |
| Predicate | pensionEligibility |
P111888
|
FINISHED |
| Object | eligible under government rules (if permanent) |
—
|
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: eligible under government rules (if permanent) | Statement: [BPS-1, pensionEligibility, eligible under government rules (if permanent)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pensionEligibility Context triple: [BPS-1, pensionEligibility, eligible under government rules (if permanent)]
-
A.
mandatoryRetirementAge
Indicates the age at which an individual is required by rule or policy to retire from a position or role.
-
B.
receivesPensionFrom
Indicates that one entity is the source or provider of a pension that another entity receives.
-
C.
appliesToRetirementStatus
Indicates that the subject is relevant or applicable specifically to an entity’s retirement status or condition.
-
D.
earliestRetirementPensionStartAge
Indicates the minimum age at which an individual is first allowed to begin receiving retirement pension benefits.
-
E.
hasFullRetirementAgeRange
Indicates that there is a defined span of ages during which an entity is considered to have reached full retirement status.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a3a24881908d81d634622fbbcc |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:15 p.m.