Triple
T21313083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oder-Spree |
E525393
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | town of Beeskow |
—
|
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: town of Beeskow | Statement: [Oder-Spree, contains, town of Beeskow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Beeskow Context triple: [Oder-Spree, contains, town of Beeskow]
-
A.
Beeskow
chosen
Beeskow is a small historic town in eastern Brandenburg, Germany, known for its medieval castle and role as a local cultural and administrative center.
-
B.
Buckow
Buckow is a locality in the Neukölln borough of Berlin, Germany, known for its mix of residential areas and post-war housing estates.
-
C.
town of Lübz
The town of Lübz is a small historic municipality in the German state of Mecklenburg-Vorpommern, known for its traditional architecture and regional brewery.
-
D.
Bebenhausen
Bebenhausen is a historic village in Baden-Württemberg, Germany, best known for its well-preserved former Cistercian monastery and royal hunting lodge.
-
E.
Mickhausen
Mickhausen is a small municipality in the Swabian region of Bavaria in southern Germany.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dcc6350819093763632b7e6e4ac |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 4:25 p.m.