Triple
T2425024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frau Bundeskanzlerin |
E53505
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | Bundeskanzlerin |
E8058
|
NE 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: Bundeskanzlerin | Statement: [Frau Bundeskanzlerin, component, Bundeskanzlerin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bundeskanzlerin Context triple: [Frau Bundeskanzlerin, component, Bundeskanzlerin]
-
A.
Frau Bundeskanzlerin
Frau Bundeskanzlerin is the formal German mode of address used for a woman serving as the Federal Chancellor of Germany.
-
B.
Herr Bundeskanzler
Herr Bundeskanzler is the formal German honorific style used to address the Federal Chancellor of Austria.
-
C.
Angela Merkel
Angela Merkel is a German politician who served as Chancellor of Germany from 2005 to 2021 and became one of the most influential leaders in Europe and the world.
-
D.
Chancellor of Germany
chosen
The Chancellor of Germany is the country’s chief executive and most powerful political office, responsible for leading the federal government and setting national policy.
-
E.
Chancellor
The Chancellor is the ceremonial head and public representative of the University of Liverpool, presiding over key events such as graduations and acting as a figurehead for the institution.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99a773c819092d5f3c297b83887 |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf61088481909d79e822e4071456 |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 6, 2026, 9:42 p.m.