Triple
T29578923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French legitimism |
E753519
|
entity |
| Predicate | viewedAsIllegitimate |
P140862
|
FINISHED |
| Object | constitutional monarchy of 1830 |
—
|
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: constitutional monarchy of 1830 | Statement: [French legitimism, viewedAsIllegitimate, constitutional monarchy of 1830]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewedAsIllegitimate Context triple: [French legitimism, viewedAsIllegitimate, constitutional monarchy of 1830]
-
A.
denialConsidered
Indicates that a denial or rejection of something has been evaluated or taken into account in a decision or reasoning process.
-
B.
consideredIllegalUnder
chosen
Indicates that one entity is regarded as illegal or unlawful according to the laws, rules, or regulations defined by another entity.
-
C.
consideredCriminalBy
Indicates that one party regards or classifies another party as a criminal according to its own laws, rules, or judgments.
-
D.
wrongfullyAccusedOf
Indicates that an entity is unjustly or falsely alleged to have committed a particular act or offense.
-
E.
keptIllegally
Indicates that something is possessed, held, or maintained in violation of laws or regulations.
- 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66d7825c08190953242afe9572940 |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:05 p.m.