Triple
T3925373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Areva |
E93261
|
entity |
| Predicate | reasonForRestructuring |
P6009
|
FINISHED |
| Object | financial difficulties |
—
|
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: financial difficulties | Statement: [Areva, reasonForRestructuring, financial difficulties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForRestructuring Context triple: [Areva, reasonForRestructuring, financial difficulties]
-
A.
reasonForDisbandment
Indicates the cause or circumstance that led to a group, organization, or entity being dissolved or disbanded.
-
B.
reasonForChange
chosen
Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
-
C.
reasonForMerger
Indicates the underlying cause, motivation, or justification for why two or more entities merged.
-
D.
reasonForWithdrawal
Indicates the cause, motive, or circumstance that explains why a withdrawal occurred.
-
E.
designationReason
Indicates the reason or justification for assigning a particular designation or status to an 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.