Triple
T4028041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Movimento das Forças Armadas |
E83638
|
entity |
| Predicate | typeOfRevolutionaryRole |
P5518
|
FINISHED |
| Object | military vanguard of regime change |
—
|
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: military vanguard of regime change | Statement: [Movimento das Forças Armadas, typeOfRevolutionaryRole, military vanguard of regime change]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRevolutionaryRole Context triple: [Movimento das Forças Armadas, typeOfRevolutionaryRole, military vanguard of regime change]
-
A.
roleBeforeQuietRevolution
Indicates that an entity held a particular role or status prior to the Quiet Revolution period.
-
B.
roleInAmericanRevolution
Indicates that an entity had a specific role, position, or involvement in events or activities related to the American Revolution.
-
C.
roleInRepublic
Indicates that an entity holds or plays a specific role or function within a republic or republican system.
-
D.
roleInFronde
Indicates that an entity participated in or held a specific role within the historical conflict known as the Fronde.
-
E.
typeOfRole
chosen
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaeec44881909a6c008eeae204df |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.