Triple
T11337188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Procuraduría Fiscal de la Federación |
E268500
|
entity |
| Predicate | tipoDeAsuntos |
P450
|
FINISHED |
| Object | asuntos fiscales |
—
|
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: asuntos fiscales | Statement: [Procuraduría Fiscal de la Federación, tipoDeAsuntos, asuntos fiscales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoDeAsuntos Context triple: [Procuraduría Fiscal de la Federación, tipoDeAsuntos, asuntos fiscales]
-
A.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
B.
subjectMatter
chosen
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
C.
controversyType
Indicates the specific kind or category of controversy associated with an entity or situation.
-
D.
involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
-
E.
topicOfReports
Indicates that something serves as the main subject or focus of one or more reports.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:33 p.m.