Triple
T14982686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 86th Airlift Wing |
E373619
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ramstein-Miesenbach |
E765584
|
NE FINISHED |
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: Ramstein-Miesenbach | Statement: [86th Airlift Wing, locatedIn, Ramstein-Miesenbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramstein-Miesenbach Context triple: [86th Airlift Wing, locatedIn, Ramstein-Miesenbach]
-
A.
Ramstein-Miesenbach
chosen
Ramstein-Miesenbach is a municipality in Rhineland-Palatinate, Germany, best known for hosting major NATO and U.S. Air Force installations.
-
B.
Mainstockheim
Mainstockheim is a small municipality in the Franconian region of northern Bavaria, Germany, situated along the Main River and known for its winegrowing tradition.
-
C.
Bromskirchen
Bromskirchen is a small municipality in the Waldeck-Frankenberg district of Hesse, Germany, near the border with North Rhine-Westphalia.
-
D.
Weikersheim
Weikersheim is a small historic town in the Tauber Valley of Baden-Württemberg, Germany, known for its Renaissance castle and well-preserved old town.
-
E.
Nussloch
Nussloch is a small town in southwestern Germany, known in part for hosting the headquarters of medical technology company Leica Biosystems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bf136e88190b3d812f50233c640 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:52 a.m.