Triple
T20459148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Brandenburg |
E501876
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Spreewald |
—
|
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: Spreewald | Statement: [Mark Brandenburg, contains, Spreewald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spreewald Context triple: [Mark Brandenburg, contains, Spreewald]
-
A.
Spreewald
chosen
Spreewald is a picturesque biosphere reserve in eastern Germany known for its network of natural waterways, traditional Sorbian culture, and extensive wetlands.
-
B.
Dahme-Spreewald
Dahme-Spreewald is a district in the state of Brandenburg in eastern Germany, known for its waterways, forests, and proximity to Berlin.
-
C.
Müritz
Müritz is Germany’s largest lake entirely within the country, located in the Mecklenburg Lake District of northeastern Germany.
-
D.
Lake Stechlin
Lake Stechlin is a deep, clear glacial lake in Brandenburg, Germany, renowned for its pristine waters, ecological significance, and literary fame from Theodor Fontane’s novel "Der Stechlin."
-
E.
Berlin-Brandenburg lake district
The Berlin-Brandenburg lake district is a scenic region in northeastern Germany known for its numerous interconnected lakes, waterways, and recreational opportunities such as boating, swimming, and nature tourism.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a4652c8190acf79fa2e285e436 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:33 a.m.