Triple
T29408185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ley General de Educación de Uruguay |
E745825
|
entity |
| Predicate | incluyeDisposicionesSobre |
P21352
|
FINISHED |
| Object | educación inicial |
—
|
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: educación inicial | Statement: [Ley General de Educación de Uruguay, incluyeDisposicionesSobre, educación inicial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incluyeDisposicionesSobre Context triple: [Ley General de Educación de Uruguay, incluyeDisposicionesSobre, educación inicial]
-
A.
decreesMustConformTo
Indicates that one decree is required to be consistent with, or not contradict, another specified standard, rule, or higher-level decree.
-
B.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
C.
obligationsInclude
Indicates that one obligation set or entity’s responsibilities contain or encompass another specified obligation or subset of duties.
-
D.
containsLawOn
chosen
Indicates that one entity (such as a document, code, or regulation) includes or sets forth legal provisions concerning another entity or subject.
-
E.
includesDecisionOn
Indicates that one item or process contains, encompasses, or explicitly addresses a particular decision or determination.
- 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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69ffc1550cb481908628e446d9b67f7b |
completed | May 9, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69ffc10a74708190ae90e2c378791f70 |
completed | May 9, 2026, 11:19 p.m. |
Created at: April 28, 2026, 2:55 p.m.