Triple
T21036663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreis Röbel/Müritz |
E518207
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Kreis Waren |
—
|
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: Kreis Waren | Statement: [Kreis Röbel/Müritz, borderedBy, Kreis Waren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kreis Waren Context triple: [Kreis Röbel/Müritz, borderedBy, Kreis Waren]
-
A.
Kreis Waren
chosen
Kreis Waren was a rural district in the former East German state structure, situated in the region administered by the Bezirk Neubrandenburg between 1952 and 1990.
-
B.
Kreis Demmin
Kreis Demmin was a rural administrative district in the former East Germany, located in the region that is now part of the state of Mecklenburg-Vorpommern.
-
C.
Kreis Gräfenhainichen
Kreis Gräfenhainichen was a rural district in the former East German administrative region of Bezirk Halle.
-
D.
Kreis Fürstenberg
Kreis Fürstenberg was a historical administrative district in the Prussian province of Brandenburg, located in northeastern Germany.
-
E.
Kreis Heiligenstadt
Kreis Heiligenstadt was a rural district in the former East German state of Thuringia, administered within the Bezirk Erfurt.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc865ca88190abf336ee9012fa77 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 2:02 p.m.