Triple
T29709094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Social Democratic Party of Germany (East Germany) |
E751725
|
entity |
| Predicate | positionOnGermanQuestion |
P195310
|
FINISHED |
| Object | supported German reunification |
—
|
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: supported German reunification | Statement: [Social Democratic Party of Germany (East Germany), positionOnGermanQuestion, supported German reunification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnGermanQuestion Context triple: [Social Democratic Party of Germany (East Germany), positionOnGermanQuestion, supported German reunification]
-
A.
germanPart
Indicates that one entity is a component, section, or segment that belongs to or forms part of something specifically in a German context (e.g., language, jurisdiction, or origin).
-
B.
locatedInPartOfGermany
Indicates that one entity is geographically situated within a specific region or part of Germany.
-
C.
nameInGerman
Indicates that an entity is known or referred to by a specific name in the German language.
-
D.
containsGermanSpeakingArea
Indicates that one entity geographically includes an area where German is predominantly spoken.
-
E.
objectiveGermany
Indicates that an entity has Germany as its objective, target, or goal in a given context.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
| PDg | Predicate description generation | batch_69fdbaa1313081908beea28a5597ae40 |
completed | May 8, 2026, 10:27 a.m. |
Created at: April 28, 2026, 7:29 p.m.