Triple
T24362292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwebheim |
E614094
|
entity |
| Predicate | locatedInNorthernGermanyRegion |
P155919
|
FINISHED |
| Object | Southern Germany (northern Bavaria) |
—
|
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: Southern Germany (northern Bavaria) | Statement: [Schwebheim, locatedInNorthernGermanyRegion, Southern Germany (northern Bavaria)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInNorthernGermanyRegion Context triple: [Schwebheim, locatedInNorthernGermanyRegion, Southern Germany (northern Bavaria)]
-
A.
locatedInPartOfGermany
Indicates that one entity is geographically situated within a specific region or part of Germany.
-
B.
locatedInNorthernEurope
Indicates that the subject is geographically situated within the region of Northern Europe.
-
C.
locatedInFormerEastGermany
Indicates that the subject is geographically situated within the territory that constituted East Germany before German reunification.
-
D.
isLocatedInFranconiaRegion
Indicates that something is situated within the geographical boundaries of the Franconia region.
-
E.
containsGermanSpeakingArea
Indicates that one entity geographically includes an area where German is predominantly spoken.
- F. None of above. chosen
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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29385d0d48190b04154fcc3efe49a |
completed | April 29, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2 a.m.