Triple
T4116754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice Prime Minister of Poland |
E90310
|
entity |
| Predicate | hasTitleInPolish |
P15390
|
FINISHED |
| Object | Wiceprezes Rady Ministrów |
—
|
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: Wiceprezes Rady Ministrów | Statement: [Vice Prime Minister of Poland, hasTitleInPolish, Wiceprezes Rady Ministrów]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleInPolish Context triple: [Vice Prime Minister of Poland, hasTitleInPolish, Wiceprezes Rady Ministrów]
-
A.
hasNameInPolish
Indicates that an entity is associated with a specific name or label expressed in the Polish language.
-
B.
equivalentTitleInPolish
Indicates that one entity has a title in Polish that is equivalent in meaning or status to the title of another entity.
-
C.
hasTitleInLanguage
chosen
Indicates that an entity has a specific title expressed in a particular language.
-
D.
hasTitleInTransliteration
Indicates that an entity has a specific title represented in a transliterated form from another writing system.
-
E.
hasTitleInGerman
Indicates that an entity has a specific title or name expressed in the German language.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03d7240c8190a64dcbc669772808 |
completed | March 9, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69af0183eb84819087d7184de28f5514 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.