Triple
T21748582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Coburg |
E536850
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Neustadt bei Coburg |
—
|
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: Neustadt bei Coburg | Statement: [District of Coburg, hasTown, Neustadt bei Coburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neustadt bei Coburg Context triple: [District of Coburg, hasTown, Neustadt bei Coburg]
-
A.
Neustadt bei Coburg
chosen
Neustadt bei Coburg is a small town in northern Bavaria, Germany, known for its traditional toy-making industry and location near the Thuringian border.
-
B.
Neustadt an der Waldnaab
Neustadt an der Waldnaab is a small town in northeastern Bavaria, Germany, known for its historic center and location along the Waldnaab River.
-
C.
Neustadt an der Aisch
Neustadt an der Aisch is a small town in the Bavarian region of Germany, known for its historic center and location along the Aisch River between Würzburg and Nuremberg.
-
D.
Bad Neustadt an der Saale
Bad Neustadt an der Saale is a small spa town in northern Bavaria, Germany, known for its historic old town and health resorts along the Saale River.
-
E.
Neustadt
Neustadt is a vibrant district of Dresden, Germany, known for its historic architecture, lively arts scene, and numerous bars, cafes, and cultural venues.
- 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.