Triple
T11819761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Luís of Orléans-Braganza |
E281093
|
entity |
| Predicate | dynasticRight |
P101673
|
FINISHED |
| Object | Brazilian imperial throne |
—
|
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: Brazilian imperial throne | Statement: [Prince Luís of Orléans-Braganza, dynasticRight, Brazilian imperial throne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dynasticRight Context triple: [Prince Luís of Orléans-Braganza, dynasticRight, Brazilian imperial throne]
-
A.
dynasticLegacy
Indicates that a lineage, tradition, or influence is passed down through successive generations within a dynasty or family line.
-
B.
dynasticState
Indicates a relationship where a state or political entity is ruled or defined by a hereditary dynasty or ruling family.
-
C.
dynasticType
Indicates the specific kind or category of dynastic relationship or succession pattern that applies between ruling entities or lineages.
-
D.
dynasticDomain
Indicates that a domain, territory, or sphere of influence is under the control or authority of a particular dynasty or ruling family.
-
E.
dynasticContext
Indicates the historical or political circumstances defined by a particular ruling dynasty under which the related entities or events are situated.
- F. None of above. chosen
Provenance (4 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e87e488190905bc3bb6d721e56 |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:42 p.m.