Triple
T12070889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Cultural Monument of the Czech Republic |
E287417
|
entity |
| Predicate | officialNameInCzech |
P17790
|
FINISHED |
| Object | Národní kulturní památka |
—
|
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: Národní kulturní památka | Statement: [National Cultural Monument of the Czech Republic, officialNameInCzech, Národní kulturní památka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialNameInCzech Context triple: [National Cultural Monument of the Czech Republic, officialNameInCzech, Národní kulturní památka]
-
A.
czechName
chosen
Indicates that an entity has a name in the Czech language, specifying the Czech-language form of its name.
-
B.
officialNameInSlovene
Indicates the officially recognized name of an entity when expressed in the Slovene language.
-
C.
officialNamePolish
Indicates the official or legally recognized name of an entity as expressed in the Polish language.
-
D.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
E.
officialNameInDanish
Indicates the officially recognized name of an entity when expressed in the Danish 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.