Triple
T7101710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German People's Party |
E165473
|
entity |
| Predicate | positionOnVersaillesTreaty |
P74910
|
FINISHED |
| Object | critical but pragmatic acceptance under Stresemann |
—
|
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: critical but pragmatic acceptance under Stresemann | Statement: [German People's Party, positionOnVersaillesTreaty, critical but pragmatic acceptance under Stresemann]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnVersaillesTreaty Context triple: [German People's Party, positionOnVersaillesTreaty, critical but pragmatic acceptance under Stresemann]
-
A.
positionOnSecurityTreaty
Indicates the stance or viewpoint an entity holds regarding a specific security treaty.
-
B.
treatySignedPlace
Indicates the location where a treaty was formally signed or concluded.
-
C.
positionRelativeToGirondins
Indicates the spatial or positional relationship of an entity with respect to the Girondins.
-
D.
obligationsOfFrance
Indicates that the specified obligations are those that France is responsible for or bound to fulfill.
-
E.
positionOnExecutionOfLouisXVI
Indicates a stance or opinion that an entity holds regarding the execution of Louis XVI.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e588aee08190bfb3d96135c0a322 |
completed | March 27, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:42 p.m.