Triple
T12898550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czech–German relations |
E308555
|
entity |
| Predicate | Czech–German Discussion Forum |
P47081
|
FINISHED |
| Object | platform for dialogue between the two countries |
—
|
LITERAL 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: platform for dialogue between the two countries | Statement: [Czech–German relations, Czech–German Discussion Forum, platform for dialogue between the two countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Czech–German Discussion Forum Context triple: [Czech–German relations, Czech–German Discussion Forum, platform for dialogue between the two countries]
-
A.
czechName
Indicates that an entity has a name in the Czech language, specifying the Czech-language form of its name.
-
B.
languageOnAustrianSide
Indicates that a particular language is used or present on the Austrian side of a border, context, or interaction.
-
C.
CzechRepublicIsMemberOf
Indicates that the Czech Republic belongs to or holds membership in a specified organization, group, or alliance.
-
D.
forum
chosen
Indicates that an entity hosts or is associated with an online discussion space where users can post messages and interact.
-
E.
discussed
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717f3fc48190b61c8f6f36cd0725 |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:40 p.m.