Triple
T38640485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konrad-Adenauer-Haus |
E938578
|
entity |
| Predicate | hasLobbyingActivity |
P53907
|
FINISHED |
| Object | political communication |
—
|
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: political communication | Statement: [Konrad-Adenauer-Haus, hasLobbyingActivity, political communication]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLobbyingActivity Context triple: [Konrad-Adenauer-Haus, hasLobbyingActivity, political communication]
-
A.
hasLobbyingElement
chosen
Indicates that something includes, involves, or is associated with lobbying activities or efforts to influence decision-makers.
-
B.
hasPoliticalActivityIn
Indicates that an entity engages in or is associated with political activities within a specified location or jurisdiction.
-
C.
hasNGOActivity
Indicates that an entity engages in, is involved with, or carries out activities associated with a non-governmental organization (NGO).
-
D.
hasOpposedActivity
Indicates that one activity stands in opposition or conflict to another activity.
-
E.
hasAuthorPoliticalActivity
Indicates that an author is engaged in, associated with, or has participated in political activities or actions.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffe613c03481909f3043ec8bf0bed9 |
completed | May 10, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69ffe4a73fb4819091600725a443981a |
completed | May 10, 2026, 1:51 a.m. |
Created at: May 3, 2026, 4:32 p.m.