Triple
T28820536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dreiländerbrücke |
E727749
|
entity |
| Predicate | hasCountryOnOneSide |
P846
|
FINISHED |
| Object | 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: Germany | Statement: [Dreiländerbrücke, hasCountryOnOneSide, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryOnOneSide Context triple: [Dreiländerbrücke, hasCountryOnOneSide, Germany]
-
A.
countryOnOneSide
Indicates that one entity is located on one side or border of a specified country.
-
B.
nonEUCountryOnOneSide
Indicates that at least one party or side involved in the relationship is a country that is not a member of the European Union.
-
C.
hasCapitalOnOneSide
Indicates that one entity has its capital city located on one side (e.g., bank, shore, border) of the other entity.
-
D.
hasCountrySide
Indicates that something is located on, borders, or is associated with the side or boundary of a specified country.
-
E.
hasCountry
chosen
Indicates that one entity possesses, is associated with, or is located within a specific country.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69ffed8912488190baa05f572e5b1b89 |
completed | May 10, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69ffed12a76c8190ad85c6ac869c72e9 |
completed | May 10, 2026, 2:27 a.m. |
Created at: April 28, 2026, 6:34 a.m.