Triple
T21748592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Coburg |
E536850
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Seßlach |
—
|
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: Seßlach | Statement: [District of Coburg, hasMunicipality, Seßlach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seßlach Context triple: [District of Coburg, hasMunicipality, Seßlach]
-
A.
Seßlach
chosen
Seßlach is a small, well-preserved medieval town in northern Bavaria, Germany, known for its intact city walls and historic half-timbered houses.
-
B.
Oberschwarzach
Oberschwarzach is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
C.
Maroldsweisach
Maroldsweisach is a municipality in the Haßberge district of northern Bavaria, Germany, known for its rural setting and historic Franconian character.
-
D.
Steinlach
Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
-
E.
Friedrichstein
Friedrichstein is a district or neighborhood within the spa town of Bad Wildungen in the state of Hesse, 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a77e19c81909bf26f96aa41a7ce |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:50 p.m.