Triple
T9859036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coburg district |
E239658
|
entity |
| Predicate | hasHistoricTown |
P847
|
FINISHED |
| Object | Seßlach |
E860877
|
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: Seßlach | Statement: [Coburg district, hasHistoricTown, Seßlach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seßlach Context triple: [Coburg district, hasHistoricTown, 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.
Steinlach
Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
-
D.
Sindlingen
Sindlingen is a district in the western part of Frankfurt am Main, Germany, known for its residential character and proximity to industrial areas along the Main River.
-
E.
Schneizlreuth
Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
- 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_69ca84e6493081909cf58c8d42ea856b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb39b06b48190ab53ff00ff0513ca |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f0c0c588190870b2145be187908 |
completed | April 10, 2026, 6:56 a.m. |
Created at: March 30, 2026, 8:35 p.m.