Triple
T37088608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ley de Ingresos de la Federación |
E918354
|
entity |
| Predicate | frecuenciaDePresentación |
P7407
|
FINISHED |
| Object | anual |
—
|
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: anual | Statement: [Ley de Ingresos de la Federación, frecuenciaDePresentación, anual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frecuenciaDePresentación Context triple: [Ley de Ingresos de la Federación, frecuenciaDePresentación, anual]
-
A.
performedFrequency
Indicates how often an action or activity is carried out within a given time period.
-
B.
displayFrequency
Indicates how often something is shown or presented within a given context or time period.
-
C.
seriesFrequency
Indicates how often the events or items in a recurring series occur over time.
-
D.
exhibitionFrequency
Indicates how often an entity is displayed, presented, or exhibited within a given context or time period.
-
E.
tienePeriodicidad
chosen
Indicates that something occurs, recurs, or is scheduled with a specific regular frequency or periodic pattern.
- 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.