Triple
T7153518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reichskonkordat |
E166750
|
entity |
| Predicate | Franz von PapenRole |
P75170
|
FINISHED |
| Object | Vice-Chancellor of 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: Vice-Chancellor of Germany | Statement: [Reichskonkordat, Franz von PapenRole, Vice-Chancellor of Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Franz von PapenRole Context triple: [Reichskonkordat, Franz von PapenRole, Vice-Chancellor of Germany]
-
A.
collaborationistLeader
Indicates that an entity serves as a leader who cooperates with or supports an occupying or oppressive power, often against the interests of their own group.
-
B.
formerChancellor
Indicates that one entity previously held the position or role of chancellor of the other entity, but no longer does.
-
C.
mainNaziLeader
Indicates that the subject is the primary or most prominent leader within a Nazi organization, regime, or group.
-
D.
notableCommanderAxis
Indicates that the subject entity had a notable military commander role or position on the Axis side in a conflict or war.
-
E.
commanderOfLuftwaffe
Indicates that one entity serves as the commanding officer or leader of the Luftwaffe (the German air force).
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7f68384819095e6aef89555442a |
completed | March 27, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69c6e1caf4e48190b47bb398a3c1554d |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:46 p.m.