Triple
T33944598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabinete de Seguridad del Gobierno Federal de México |
E870255
|
entity |
| Predicate | nivelDeDecisión |
P27741
|
FINISHED |
| Object | alto nivel |
—
|
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: alto nivel | Statement: [Gabinete de Seguridad del Gobierno Federal de México, nivelDeDecisión, alto nivel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nivelDeDecisión Context triple: [Gabinete de Seguridad del Gobierno Federal de México, nivelDeDecisión, alto nivel]
-
A.
decisionMakingLevel
chosen
Indicates the degree or hierarchy of authority an entity has in making decisions within a given context.
-
B.
decisionMaking
Indicates the process by which an entity evaluates options and selects a course of action among alternatives.
-
C.
decisionType
Indicates the specific category or nature of a decision associated with an entity or event.
-
D.
decisionMakingModel
Indicates a relationship where an entity uses or is associated with a specific model or framework for making decisions.
-
E.
decisionLanguage
Indicates that a decision, statement, or choice is expressed or recorded in a particular natural language.
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.