Triple
T30210211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Social Security legislation of Chile |
E768048
|
entity |
| Predicate | mainPensionLaw |
P177158
|
FINISHED |
| Object | Decree Law 3.500 of 1980 |
—
|
NE NERFINISHED |
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: Decree Law 3.500 of 1980 | Statement: [Social Security legislation of Chile, mainPensionLaw, Decree Law 3.500 of 1980]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainPensionLaw Context triple: [Social Security legislation of Chile, mainPensionLaw, Decree Law 3.500 of 1980]
-
A.
pensionNature
Indicates the type or characteristics of a pension, such as its form, conditions, or classification within a benefits or retirement scheme.
-
B.
pensionIssue
Indicates that an entity is involved in the granting, receiving, managing, or disputing of a pension or retirement-benefit payment.
-
C.
receivesPensionFrom
Indicates that one entity is the source or provider of a pension that another entity receives.
-
D.
pensionEligibility
Indicates that an entity qualifies to receive pension benefits under specified rules or conditions.
-
E.
parliamentaryPension
Indicates that an entity receives or is entitled to a pension by virtue of having served in a parliamentary role.
- 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f854486c81909396d944a55e03ab |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 29, 2026, 7:32 p.m.