Triple
T3010254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German-Czech border |
E82198
|
entity |
| Predicate | adjacentGermanState |
P12928
|
FINISHED |
| Object | Bavaria |
E7752
|
NE FINISHED |
How this triple was built (3 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: Bavaria | Statement: [German-Czech border, adjacentGermanState, Bavaria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bavaria Context triple: [German-Czech border, adjacentGermanState, Bavaria]
-
A.
Bavaria
chosen
Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
-
B.
Swabia (Bavaria)
Swabia (Bavaria) is an administrative region in southwestern Bavaria, Germany, known for its distinct Swabian cultural heritage and mix of industrial cities and rural landscapes.
-
C.
Saxony
Saxony is a historic region and former kingdom in eastern Germany, known for its cultural centers like Dresden and Leipzig and its significant role in Central European history.
-
D.
Pfalz
Pfalz is a major wine-producing region in southwestern Germany known for its diverse vineyards and high-quality white wines.
-
E.
Saarland
Saarland is a small federal state in southwestern Germany known for its industrial history, Franco-German cultural influences, and location along the borders with France and Luxembourg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentGermanState Context triple: [German-Czech border, adjacentGermanState, Bavaria]
-
A.
bordersGermanState
chosen
Indicates that one entity shares a land or maritime boundary directly with a German federal state.
-
B.
borderingCountryNearby
Indicates that one country is geographically close to, but does not necessarily share a direct land border with, another country.
-
C.
neighboringCountryBySea
Indicates that one country is adjacent to another with their territories touching via a shared sea boundary rather than solely by land.
-
D.
bordersToTheEast
Indicates that one entity shares a boundary with another entity and is located directly to the east of it.
-
E.
rankInGermanEmpireByArea
Indicates the ordinal position of an entity when all entities in the German Empire are ordered by their land area.
- F. None of above.
Provenance (4 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4ccbf08190a7580c9e758804d0 |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2357438648190b2dc11ae9b568a15 |
completed | March 12, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69ad96180eb08190a524c5f458d41382 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.