Triple
T29888252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lei nº 11.516, de 28 de agosto de 2007 |
E759073
|
entity |
| Predicate | nomeOficial |
P66
|
FINISHED |
| Object | Lei nº 11.516, de 28 de agosto de 2007 |
—
|
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: Lei nº 11.516, de 28 de agosto de 2007 | Statement: [Lei nº 11.516, de 28 de agosto de 2007, nomeOficial, Lei nº 11.516, de 28 de agosto de 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nomeOficial Context triple: [Lei nº 11.516, de 28 de agosto de 2007, nomeOficial, Lei nº 11.516, de 28 de agosto de 2007]
-
A.
hasOfficialNameInPortuguese
Indicates that an entity has an official name expressed in the Portuguese language.
-
B.
officialName
chosen
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
C.
firstOfficialName
Indicates the original or primary official name formally assigned to an entity before any subsequent name changes or alternatives.
-
D.
officialNameGivenBy
Indicates that an official or formal name has been assigned to an entity by a specific authority or source.
-
E.
formerOfficialNameOf
Indicates that one entity was previously the official name of another entity before a renaming or reclassification.
- 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_69f2245de2f48190a481404896b56254 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f676fe75988190ae1bffb155a3c4e1 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:01 p.m.