Triple
T17818748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eilenburg |
E444915
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Eilenburg-Ost |
—
|
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: Eilenburg-Ost | Statement: [Eilenburg, hasSubdivision, Eilenburg-Ost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eilenburg-Ost Context triple: [Eilenburg, hasSubdivision, Eilenburg-Ost]
-
A.
Eilenburg
chosen
Eilenburg is a small historic town in the German state of Saxony, situated on the Mulde River northeast of Leipzig.
-
B.
Rüngsdorf
Rüngsdorf is a residential district in the southern part of Bonn, Germany, known for its scenic location along the Rhine and its affiliation with the Bad Godesberg borough.
-
C.
Augustdorf
Augustdorf is a municipality in North Rhine-Westphalia, Germany, known for its proximity to the Teutoburg Forest and its significant military presence, including Bundeswehr facilities.
-
D.
Elsterwerda
Elsterwerda is a small town in the state of Brandenburg in eastern Germany, known for its regional railway connections and location near the Elbe-Elster district.
-
E.
Eckental
Eckental is a market town and municipality in the Erlangen-Höchstadt district of Bavaria, Germany.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e488812df081909771d51c54c405fe |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:15 a.m.