Triple
T19492586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allensbach |
E487687
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Niederroßla |
—
|
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: Niederroßla | Statement: [Allensbach, hasTwinTown, Niederroßla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niederroßla Context triple: [Allensbach, hasTwinTown, Niederroßla]
-
A.
Niederroßla
chosen
Niederroßla is a small municipality in the German state of Thuringia, known for its rural character within the Weimarer Land district.
-
B.
Biebelried
Biebelried is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and proximity to the Franconian wine region.
-
C.
Dürrnberg
Dürrnberg is a mountain area in the Austrian Alps known for its historic salt mines and scenic landscapes near the town of Hallein.
-
D.
Groß Dölln
Groß Dölln is a small village in Brandenburg, Germany, known for its surrounding forests, lakes, and the nearby former military airfield now used as a driving and testing center.
-
E.
Niederjosbach
Niederjosbach is a village and district of the town of Eppstein in the German state of Hesse.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348f4d708190a6e612863fee4b97 |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:39 p.m.