Triple
T23098337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreis Döbeln |
E575956
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Waldheim |
—
|
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: Waldheim | Statement: [Kreis Döbeln, hasMunicipality, Waldheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waldheim Context triple: [Kreis Döbeln, hasMunicipality, Waldheim]
-
A.
Waldheim
chosen
Waldheim is a small town in the German state of Saxony, known for its historic architecture and location along the Zschopau River.
-
B.
Colonel Franz von Waldheim
Colonel Franz von Waldheim is the fanatical Nazi officer in the 1964 film "The Train" who obsessively attempts to transport France’s stolen art treasures to Germany as the Allies advance.
-
C.
Vilsmaier
Vilsmaier is a German surname most notably associated with film director Joseph Vilsmaier.
-
D.
Kurt Waldheim
Kurt Waldheim was an Austrian diplomat and politician who served as Secretary-General of the United Nations and later as President of Austria, becoming a controversial figure due to revelations about his World War II military service.
-
E.
Roman Herzog
Roman Herzog was a German jurist and politician who served as President of Germany from 1994 to 1999.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de71a088190b91918e6c4ea6e97 |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:57 p.m.