Triple
T33944453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sistema Penitenciario Federal |
E870252
|
entity |
| Predicate | tipoDeInstalaciones |
P17153
|
FINISHED |
| Object | centros federales de readaptación social |
—
|
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: centros federales de readaptación social | Statement: [Sistema Penitenciario Federal, tipoDeInstalaciones, centros federales de readaptación social]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoDeInstalaciones Context triple: [Sistema Penitenciario Federal, tipoDeInstalaciones, centros federales de readaptación social]
-
A.
typeOfInstallation
chosen
Indicates the specific kind or category of installation associated with an entity (e.g., how or in what form something is installed).
-
B.
typeOfInstallationSupported
Indicates that one entity supports or is compatible with a specified type or method of installation for another entity.
-
C.
installs
Indicates that one entity sets up, places, or integrates another entity so it becomes operational or available for use.
-
D.
includesInstallation
Indicates that one entity comes with or provides the installation of another entity as part of its offering or package.
-
E.
intendedInstallation
Indicates that one entity is meant or planned to be installed in, on, or as part of another entity or environment.
- 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.