Triple
T31442710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pressath |
E802110
|
entity |
| Predicate | isLocatedInPartOfGermany |
P86978
|
FINISHED |
| Object | southern Germany |
—
|
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 | Statement: [Pressath, isLocatedInPartOfGermany, southern Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInPartOfGermany Context triple: [Pressath, isLocatedInPartOfGermany, southern Germany]
-
A.
locatedInPartOfGermany
chosen
Indicates that one entity is geographically situated within a specific region or part of Germany.
-
B.
locatedInNorthernGermanyRegion
Indicates that one entity is geographically situated within the northern region of Germany.
-
C.
containsGermanSpeakingArea
Indicates that one entity geographically includes an area where German is predominantly spoken.
-
D.
isLocatedInFranconiaRegion
Indicates that something is situated within the geographical boundaries of the Franconia region.
-
E.
oneOfGermanys
Indicates that something or someone belongs to the set of entities that are part of, originate from, or are associated with Germany.
- F. None of above.
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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 30, 2026, 9:07 p.m.