Triple
T20429730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hesse-Rotenburg |
E501097
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Rotenburg an der Fulda |
—
|
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: Rotenburg an der Fulda | Statement: [Hesse-Rotenburg, capital, Rotenburg an der Fulda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rotenburg an der Fulda Context triple: [Hesse-Rotenburg, capital, Rotenburg an der Fulda]
-
A.
Rotenburg an der Fulda
chosen
Rotenburg an der Fulda is a historic small town in northeastern Hesse, Germany, situated along the Fulda River and known for its well-preserved half-timbered architecture.
-
B.
Hersfeld-Rotenburg
Hersfeld-Rotenburg is a rural district in eastern Hesse, Germany, known for its historic towns, forests, and location along the Fulda River.
-
C.
Mainburg
Mainburg is a Bavarian town in southern Germany known for its hop-growing industry and role in the Hallertau beer region.
-
D.
Rotenburg (Wümme)
Rotenburg (Wümme) is a small town in Lower Saxony, Germany, known for its rural surroundings and role as a local administrative and service center.
-
E.
Hofgeismar
Hofgeismar is a small historic town in the German state of Hesse, known for its medieval architecture and picturesque setting.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67bac39288190b294b291301ac843 |
completed | April 20, 2026, 7:17 p.m. |
Created at: April 16, 2026, 11:31 a.m.