Triple
T65725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Rectors' Conference |
E1309
|
entity |
| Predicate | mainActivity |
P2166
|
FINISHED |
| Object | representation of member universities' interests |
—
|
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: representation of member universities' interests | Statement: [German Rectors' Conference, mainActivity, representation of member universities' interests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainActivity Context triple: [German Rectors' Conference, mainActivity, representation of member universities' interests]
-
A.
mainBase
Indicates that one entity serves as the primary or central base or headquarters for another entity.
-
B.
primaryTask
chosen
Indicates that an entity has a main or most important task, role, or function it is responsible for above all others.
-
C.
mainLocation
Indicates that one entity serves as the primary or central location associated with another entity.
-
D.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
-
E.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a2516eda54819090f5c14384d4eab1 |
completed | Feb. 28, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69a24ea5c140819080409a968c8d2ce8 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.