Triple
T4120557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vichy French forces |
E92600
|
entity |
| Predicate | statusAfter1942 |
P54396
|
FINISHED |
| Object | progressively disarmed by Germany |
—
|
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: progressively disarmed by Germany | Statement: [Vichy French forces, statusAfter1942, progressively disarmed by Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfter1942 Context triple: [Vichy French forces, statusAfter1942, progressively disarmed by Germany]
-
A.
statusAfter1941
Indicates the condition or state of an entity as it existed after the year 1941.
-
B.
statusAfter1946
Indicates the status or condition of an entity as it existed after the year 1946.
-
C.
statusAfterWWII
Indicates the condition, role, or classification an entity had following the end of World War II.
-
D.
statusAfter1934
Indicates the condition or state something has specifically after the year 1934.
-
E.
statusIn1945
Indicates the condition, role, or classification an entity had specifically during the year 1945.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af0245adbc81908b89a40850047975 |
completed | March 9, 2026, 5:24 p.m. |
Created at: March 9, 2026, 3:41 p.m.