Triple
T18968922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Düppel |
E464112
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object | Düppel |
—
|
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: Düppel | Statement: [Düppel, hasGermanName, Düppel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Düppel Context triple: [Düppel, hasGermanName, Düppel]
-
A.
Düppel
Düppel is a World War II-era radar countermeasure consisting of clouds of metallic strips or chaff released from aircraft to confuse enemy radar systems.
-
B.
Düppel
chosen
Düppel is a locality in the southwestern Berlin borough of Steglitz-Zehlendorf, known for its forested areas and historical significance including the Düppel Museum Village.
-
C.
Dehnitz
Dehnitz is a locality within the town of Wurzen in the Free State of Saxony, Germany.
-
D.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
-
E.
Bad Düben
Bad Düben is a small spa town in Saxony, Germany, known for its health resorts and location near the Dübener Heide nature park.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d618e2ec8190848a41733e6db2f1 |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon