Triple
T9447522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jindřich Fügner |
E227799
|
entity |
| Predicate | adoptedNationality |
P66634
|
FINISHED |
| Object | Czech |
—
|
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: Czech | Statement: [Jindřich Fügner, adoptedNationality, Czech]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptedNationality Context triple: [Jindřich Fügner, adoptedNationality, Czech]
-
A.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
-
B.
countryOfNaturalization
chosen
Indicates that an entity became a citizen of the specified country through the legal process of naturalization.
-
C.
formerCitizenship
Indicates that an entity previously held, but no longer holds, citizenship in a specified country or state.
-
D.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
E.
countryOfCitizenship
Indicates the country in which a person or entity holds legal citizenship.
- 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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f62dfa48190bf318777d97f0f2a |
completed | April 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69cca5596ffc819097e9c8eefd4ef9b8 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:51 p.m.