Triple
T22779570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitution of Brazil of 1891 |
E563796
|
entity |
| Predicate | governmentFormReplaced |
P86110
|
FINISHED |
| Object | constitutional monarchy |
—
|
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: constitutional monarchy | Statement: [Constitution of Brazil of 1891, governmentFormReplaced, constitutional monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentFormReplaced Context triple: [Constitution of Brazil of 1891, governmentFormReplaced, constitutional monarchy]
-
A.
governmentFormCreated
Indicates that one entity established or instituted a particular form or system of government for another entity.
-
B.
governmentFormBefore
chosen
Indicates that one form of government existed prior to another form of government in a temporal sequence.
-
C.
governmentFormUnder
Indicates that one governmental form or system operates under the authority, framework, or jurisdiction of another governmental form.
-
D.
governmentFormAffected
Indicates that one entity has caused a change or influence on the form or structure of government of another entity.
-
E.
governmentFormModeled
Indicates that one government form is modeled after, or structurally based on, another government form.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b63d348819085668e3d9ac78ffa |
completed | April 29, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:28 p.m.