Triple
T2568848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Einigungsvertrag |
E57615
|
entity |
| Predicate | hatFolge |
P134
|
FINISHED |
| Object | Beitritt der DDR zur Bundesrepublik Deutschland am 3. Oktober 1990 |
—
|
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: Beitritt der DDR zur Bundesrepublik Deutschland am 3. Oktober 1990 | Statement: [Einigungsvertrag, hatFolge, Beitritt der DDR zur Bundesrepublik Deutschland am 3. Oktober 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hatFolge Context triple: [Einigungsvertrag, hatFolge, Beitritt der DDR zur Bundesrepublik Deutschland am 3. Oktober 1990]
-
A.
heldAfter
Indicates that one event or state occurs or is maintained at some point in time after another specified event or state.
-
B.
hatPattern
Indicates that one entity has a hat characterized by a specific pattern or design.
-
C.
follows
chosen
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
-
D.
has
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
E.
after
Indicates that one event, state, or action occurs later in time than another, following it in temporal order.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd380d6e081909c124e8a0b7feef3 |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0cc8d308190ae7aa32b8f5ae2e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.