Triple
T15598254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teodósio II, Duke of Braganza |
E374961
|
entity |
| Predicate | monarchistContext |
P26514
|
FINISHED |
| Object | Portuguese Restoration period |
—
|
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: Portuguese Restoration period | Statement: [Teodósio II, Duke of Braganza, monarchistContext, Portuguese Restoration period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchistContext Context triple: [Teodósio II, Duke of Braganza, monarchistContext, Portuguese Restoration period]
-
A.
monarchist
Indicates support for or advocacy of a monarchical system of government or rule.
-
B.
monarchicContext
chosen
Indicates that the relationship or action occurs within, is shaped by, or pertains to a monarchical system of rule or authority.
-
C.
monarch
Indicates that an entity serves as the sovereign ruler (such as a king, queen, or emperor) over a state or territory.
-
D.
monarchIn
Indicates that a person serves as the ruling monarch of a specified country, state, or territory.
-
E.
monarchy
Indicates a system of governance in which supreme authority is vested in a single ruler, typically a king or queen, whose position is usually hereditary.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e609ab081909feb486a57439960 |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:12 a.m.