Triple
T21357659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammelburg |
E526677
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Fuchsstadt |
E983494
|
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: Fuchsstadt | Statement: [Hammelburg, hasSubdivision, Fuchsstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuchsstadt Context triple: [Hammelburg, hasSubdivision, Fuchsstadt]
-
A.
Fuchsstadt
chosen
Fuchsstadt is a small municipality in the Lower Franconia region of Bavaria, Germany, known for its rural character and proximity to the spa town of Bad Kissingen.
-
B.
Pfungstadt
Pfungstadt is a town in the German state of Hesse, known for its traditional brewery and proximity to the city of Darmstadt.
-
C.
Neustadt am Kulm
Neustadt am Kulm is a small town in northeastern Bavaria, Germany, known for its location near the Rauher Kulm basalt cone and its scenic Upper Palatinate countryside.
-
D.
Neustadt
Neustadt is a vibrant district of Dresden, Germany, known for its historic architecture, lively arts scene, and numerous bars, cafes, and cultural venues.
-
E.
Neustadt
Neustadt is a district of the Austrian city of Salzburg, known for its central urban character within the historic and cultural landscape of the city.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa2d11c81908608851940e4e6d3 |
completed | April 22, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e12440b08190b50913782a47e144 |
completed | May 17, 2026, 3:39 p.m. |
Created at: April 16, 2026, 5:07 p.m.