Triple
T28676641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Doppler Laboratory |
E725884
|
entity |
| Predicate | countrySpecificProgram |
P18197
|
FINISHED |
| Object | Austria |
—
|
NE NERFINISHED |
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: Austria | Statement: [Christian Doppler Laboratory, countrySpecificProgram, Austria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countrySpecificProgram Context triple: [Christian Doppler Laboratory, countrySpecificProgram, Austria]
-
A.
homeCountryProgram
Indicates that a program is associated with, based in, or primarily intended for participants from a particular home country.
-
B.
domesticProgram
Indicates a program, initiative, or activity that operates within and is limited to a specific country’s internal context or territory.
-
C.
nationalProgram
chosen
Indicates that an entity is part of, associated with, or designated as a program organized or administered at the national level.
-
D.
hasRegionalProgram
Indicates that an entity operates, offers, or is associated with a program that is specific to a particular geographic region.
-
E.
stateProgram
Indicates that a program is organized, funded, or administered by a governmental state authority.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: April 28, 2026, 5:06 a.m.