Triple
T19241269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Provisional Government of the Portuguese Republic |
E481136
|
entity |
| Predicate | introducedGovernmentType |
P220
|
FINISHED |
| Object | republic |
—
|
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: republic | Statement: [Provisional Government of the Portuguese Republic, introducedGovernmentType, republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedGovernmentType Context triple: [Provisional Government of the Portuguese Republic, introducedGovernmentType, republic]
-
A.
implementedGovernmentType
Indicates the specific form of government that has been put into practice or adopted by an entity.
-
B.
typeOfGovernmentAfter
Indicates the form of government that exists or is established in a place following a specified event or time period.
-
C.
laterGovernmentType
Indicates that one government type succeeds or replaces another at a later point in time.
-
D.
governmentType
chosen
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
-
E.
governmentTypeBefore
Indicates the form of government that existed for an entity prior to a specified change or later government type.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf14564819085009adf822804ab |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:26 p.m.