Triple
T16998607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Minister of the Czech Republic |
E412380
|
entity |
| Predicate | styleOfAddress |
P536
|
FINISHED |
| Object | Madam Prime Minister |
E661089
|
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: Madam Prime Minister | Statement: [Prime Minister of the Czech Republic, styleOfAddress, Madam Prime Minister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madam Prime Minister Context triple: [Prime Minister of the Czech Republic, styleOfAddress, Madam Prime Minister]
-
A.
Madam Prime Minister
chosen
"Madam Prime Minister" is a formal style of address used for a woman serving as the head of government in a parliamentary system.
-
B.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address used for the head of government of Georgia.
-
C.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address used for the head of government of Luxembourg.
-
D.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address traditionally used for the head of government of the Russian Federation.
-
E.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address used for the head of government of Azerbaijan.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37c16d081908ea5e25c992cb254 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1ac518819093fac61b5598d730 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.