Triple
T23532724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judicial Commissioner (Singapore) |
E576612
|
entity |
| Predicate | subjectToRetirementAge |
P153141
|
FINISHED |
| Object | no permanent retirement age (term-limited) |
—
|
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: no permanent retirement age (term-limited) | Statement: [Judicial Commissioner (Singapore), subjectToRetirementAge, no permanent retirement age (term-limited)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectToRetirementAge Context triple: [Judicial Commissioner (Singapore), subjectToRetirementAge, no permanent retirement age (term-limited)]
-
A.
mandatoryRetirementAge
Indicates the age at which an individual is required by rule or policy to retire from a position or role.
-
B.
retirementDate
Indicates the date on which an entity stops its active role or service, typically marking the end of its professional or operational period.
-
C.
hasDelayedRetirementCreditAgeLimit
Indicates the maximum age up to which delayed retirement credits can be accrued or applied.
-
D.
retirementYear
Indicates the specific year in which an entity retires or is officially considered retired.
-
E.
pensionEligibility
Indicates that an entity qualifies to receive pension benefits under specified rules or conditions.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac79800081908907bce55b9c68cf |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:10 p.m.