Triple
T23220741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostorfer See |
E580882
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Schwerin (urban area) |
—
|
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: Schwerin (urban area) | Statement: [Ostorfer See, locatedIn, Schwerin (urban area)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwerin (urban area) Context triple: [Ostorfer See, locatedIn, Schwerin (urban area)]
-
A.
Schwerin
chosen
Schwerin is a historic city in northern Germany known for its picturesque lakeside setting and landmark Schwerin Castle.
-
B.
Neubrandenburg
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.
-
C.
Pasewalk
Pasewalk is a small historic town in northeastern Germany, located in the state of Mecklenburg-Vorpommern near the Polish border.
-
D.
Lehrte
Lehrte is a town in Lower Saxony, Germany, located east of Hanover and known historically for its railway junction and agricultural surroundings.
-
E.
Uelzen
Uelzen is a small town in Lower Saxony, Germany, known for its distinctive Hundertwasser-designed railway station and its role as a regional transport hub.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1916870148190853874e6cf26bbc7 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:08 p.m.