Triple
T3925372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Areva |
E93261
|
entity |
| Predicate | restructuring |
P10997
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Areva, restructuring, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restructuring Context triple: [Areva, restructuring, 2016]
-
A.
reorganized
Indicates that an entity has changed the structure, order, or arrangement of another entity or set of entities from a previous configuration.
-
B.
reorganizedIn
chosen
Indicates that an entity underwent a structural or organizational change within a specified context, time, or framework.
-
C.
typeOfReorganization
Indicates the specific kind or category of organizational restructuring that is being or has been carried out.
-
D.
reform
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
E.
restructuredGovernmentOf
Indicates that one entity has reorganized or significantly altered the governmental structure or system of another entity.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed7f3cc881909464db1970ba39ae |
completed | March 9, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.