Triple
T33944458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sistema Penitenciario Federal |
E870252
|
entity |
| Predicate | diferenteDe |
P1612
|
FINISHED |
| Object | sistemas penitenciarios estatales de México |
—
|
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: sistemas penitenciarios estatales de México | Statement: [Sistema Penitenciario Federal, diferenteDe, sistemas penitenciarios estatales de México]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diferenteDe Context triple: [Sistema Penitenciario Federal, diferenteDe, sistemas penitenciarios estatales de México]
-
A.
differIn
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
-
B.
isDistinctFrom
chosen
Indicates that two entities are not identical and can be clearly distinguished from one another.
-
C.
isDifferenceOf
Indicates that one quantity or entity represents the result obtained by subtracting one specified quantity or entity from another.
-
D.
neDoitPasÊtreConfonduAvec
Indicates that one entity should not be mistaken for, or confused with, another distinct entity.
-
E.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
- 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.