Triple
T4865142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L'Extinction du paupérisme |
E108749
|
entity |
| Predicate | proposesSolutionType |
P4453
|
FINISHED |
| Object | state-led social reform |
—
|
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: state-led social reform | Statement: [L'Extinction du paupérisme, proposesSolutionType, state-led social reform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposesSolutionType Context triple: [L'Extinction du paupérisme, proposesSolutionType, state-led social reform]
-
A.
solutionType
chosen
Indicates the specific category or kind of solution associated with an entity or problem.
-
B.
offersSolution
Indicates that one entity provides or proposes a remedy, answer, or way to resolve a problem or need experienced by another entity.
-
C.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
-
D.
proposesSystem
Indicates that one entity formally suggests or puts forward a particular system for consideration, adoption, or implementation by another entity.
-
E.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d7861e88190ad172632eb5507c7 |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.