Triple
T14616429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tollensesee |
E343097
|
entity |
| Predicate | closestMajorCity |
P1982
|
FINISHED |
| Object | Neubrandenburg |
E170908
|
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: Neubrandenburg | Statement: [Tollensesee, closestMajorCity, Neubrandenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neubrandenburg Context triple: [Tollensesee, closestMajorCity, Neubrandenburg]
-
A.
Neubrandenburg
chosen
Neubrandenburg is a historic city in northeastern Germany known for its well-preserved medieval brick Gothic architecture and distinctive city wall with multiple gate towers.
-
B.
Pasewalk
Pasewalk is a small historic town in northeastern Germany, located in the state of Mecklenburg-Vorpommern near the Polish border.
-
C.
Schwerin
Schwerin is a historic city in northern Germany known for its picturesque lakeside setting and landmark Schwerin Castle.
-
D.
Ratzeburg
Ratzeburg is a historic town in northern Germany known for its island old town and Romanesque cathedral, situated in the lake district of Schleswig-Holstein.
-
E.
Magdeburg
Magdeburg is a historic city in central Germany, known for its medieval cathedral, role as a major trading and industrial center, and location on the Elbe River.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46439b88190a4affcc7ccedab6b |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe968124d481909dd89dd9282788b7 |
completed | May 9, 2026, 2:05 a.m. |
Created at: April 10, 2026, 1:25 a.m.