Triple
T21555097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAF Germany |
E531869
|
entity |
| Predicate | garrison |
P75
|
FINISHED |
| Object | Rheindahlen |
—
|
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: Rheindahlen | Statement: [RAF Germany, garrison, Rheindahlen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rheindahlen Context triple: [RAF Germany, garrison, Rheindahlen]
-
A.
Rheindahlen
chosen
Rheindahlen is a district of Mönchengladbach in western Germany that became well known as a major British military garrison and administrative center during the Cold War.
-
B.
Rheinwald
Rheinwald is a remote alpine valley region in southeastern Switzerland known for its dramatic mountain scenery and traditional villages.
-
C.
Ramingstein
Ramingstein is a small Austrian municipality in the Lungau region of Salzburg, known for its alpine setting and historic silver mining heritage.
-
D.
Nesselried
Nesselried is a village and district of the municipality of Appenweier in the Ortenau region of Baden-Württemberg, Germany.
-
E.
Eppenhain
Eppenhain is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany, known for its proximity to the Taunus hills and forested surroundings.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2de1c248190b303a4a55b022374 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.