Triple
T4444999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel II of Portugal |
E96261
|
entity |
| Predicate | endCauseOfReign |
P15555
|
FINISHED |
| Object | republican revolution |
—
|
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: republican revolution | Statement: [Manuel II of Portugal, endCauseOfReign, republican revolution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endCauseOfReign Context triple: [Manuel II of Portugal, endCauseOfReign, republican revolution]
-
A.
endOfReignReason
chosen
Indicates the cause or circumstance that led to the termination of a ruler’s reign.
-
B.
endCauseOfRevolt
Indicates that the subject is the cause or factor that brings a revolt or uprising to an end.
-
C.
reasonForStartOfReign
Indicates the cause, circumstance, or event that led to the beginning of an entity’s reign.
-
D.
causeOfDownfall
Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
-
E.
endOfReign
Indicates the point in time or event at which a ruler’s or leader’s period of authority or reign concludes.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d00c288190a4f3fec29b5d85b2 |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f62c180819097ced38da2052207 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:32 p.m.