Triple
T34952031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Lucemburský |
E1008025
|
entity |
| Predicate | národnost |
P130892
|
FINISHED |
| Object | český král |
—
|
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: český král | Statement: [Jan Lucemburský, národnost, český král]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: národnost Context triple: [Jan Lucemburský, národnost, český král]
-
A.
nation
Indicates that an entity is a country or sovereign state, or that something pertains to such a country as a political unit.
-
B.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
C.
nationalIdentityBasis
Indicates that one entity serves as the defining basis or foundation for the national identity of another entity.
-
D.
primaryNationality
chosen
Indicates the main national affiliation or citizenship that most strongly characterizes an entity among possibly multiple nationalities.
-
E.
nationalityTheme
Indicates that an entity is thematically associated with, or centrally involves, a particular nationality or country.
- 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782cea4c881908ada116c80eafa15 |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.