Triple
T37089365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ley de los Sistemas de Ahorro para el Retiro |
E918372
|
entity |
| Predicate | sujetoPrincipal |
P74168
|
FINISHED |
| Object | trabajadores afiliados al IMSS |
—
|
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: trabajadores afiliados al IMSS | Statement: [Ley de los Sistemas de Ahorro para el Retiro, sujetoPrincipal, trabajadores afiliados al IMSS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sujetoPrincipal Context triple: [Ley de los Sistemas de Ahorro para el Retiro, sujetoPrincipal, trabajadores afiliados al IMSS]
-
A.
usoPrincipal
Indicates the primary or main way in which something is used or intended to be used in relation to another entity.
-
B.
subjectOfIntroduction
Indicates that one entity is the topic or focus being introduced by another entity.
-
C.
principalAct
Indicates that an entity performs or is responsible for the main or primary action in a given context.
-
D.
principalActFor
Indicates that one entity performs an action or enters into an arrangement on behalf of another entity in the capacity of a principal.
-
E.
primaryParticipant
chosen
Indicates that an entity plays the main or most central role in a given event, activity, or relationship.
- F. None of above.
Provenance (3 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.