Triple
T10389000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’intégration dans les groupes topologiques et ses applications |
E244840
|
entity |
| Predicate | mathematicalStyle |
P93926
|
FINISHED |
| Object | abstract |
—
|
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: abstract | Statement: [L’intégration dans les groupes topologiques et ses applications, mathematicalStyle, abstract]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mathematicalStyle Context triple: [L’intégration dans les groupes topologiques et ses applications, mathematicalStyle, abstract]
-
A.
symbolicStyle
Indicates that one entity employs or is characterized by a particular symbolic or emblematic style defined by the other entity.
-
B.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
C.
mathematicalSchool
Indicates a relationship where an entity is associated with, belongs to, or is characterized by a particular school or tradition within mathematics.
-
D.
mathematicallyUses
Indicates that one entity employs or applies another entity within a mathematical context, such as in a formula, proof, computation, or theoretical framework.
-
E.
mathematicallyExpressedBy
Indicates that something (such as a concept, quantity, or relationship) is represented or captured using a specific mathematical expression or formulation.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b40dd8819080ac839487020a44 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:05 p.m.