Triple
T10082633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sömmerda district |
E213939
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | town of Sömmerda |
E722431
|
NE 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: town of Sömmerda | Statement: [Sömmerda district, contains, town of Sömmerda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Sömmerda Context triple: [Sömmerda district, contains, town of Sömmerda]
-
A.
Sömmerda
chosen
Sömmerda is a town in the German state of Thuringia, known historically for its industrial development and location on the Unstrut River.
-
B.
Sömmerda district
Sömmerda district is a rural administrative district (Landkreis) in the German state of Thuringia, known for its agricultural landscape and small towns north of Erfurt.
-
C.
Weiterstadt
Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
-
D.
Frohnhausen
Frohnhausen is a district (Ortsteil) of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
-
E.
Großjena
Großjena is a village and district of the town of Naumburg in the German state of Saxony-Anhalt, known for its location in the Saale-Unstrut wine-growing region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd03482d481908b03d35dc2d16395 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b66b256c8190861066f7c19008d2 |
completed | April 5, 2026, 7:22 p.m. |
Created at: March 30, 2026, 9 p.m.