Triple
T20890420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zweibund |
E514393
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object | Zweibund |
—
|
NE NERFINISHED |
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: Zweibund | Statement: [Zweibund, hasGermanName, Zweibund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zweibund Context triple: [Zweibund, hasGermanName, Zweibund]
-
A.
Zweibund
chosen
Zweibund was the German term for the Dual Alliance, a key late 19th-century military and political alliance between Germany and Austria-Hungary that shaped pre–World War I European diplomacy.
-
B.
ZWEI
ZWEI is an early extensible text editor developed at MIT, notable as a precursor and influence on later Emacs implementations.
-
C.
Zwiefalten
Zwiefalten is a small historic town and former monastic center in the state of Baden-Württemberg in southern Germany.
-
D.
Gemena
Gemena is a city in the northwestern part of the Democratic Republic of the Congo that serves as an important regional administrative and commercial center.
-
E.
Zwiggelte
Zwiggelte is a small village in the Dutch province of Drenthe, known for its rural character and agricultural surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05d591481908c9c999db76760fc |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 12:46 p.m.