Triple
T37558978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARC Laureate Fellow at the University of Sydney |
E933766
|
entity |
| Predicate | funderCountry |
P17912
|
FINISHED |
| Object | Australia |
—
|
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: Australia | Statement: [ARC Laureate Fellow at the University of Sydney, funderCountry, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: funderCountry Context triple: [ARC Laureate Fellow at the University of Sydney, funderCountry, Australia]
-
A.
donorCountry
Indicates that one country provides aid, resources, or support to another country.
-
B.
countryOfPatronage
chosen
Indicates the country that officially supports, sponsors, or acts as a patron for a given entity or activity.
-
C.
associatedCountryOfProject
Indicates the country with which a given project is formally or contextually associated.
-
D.
countryOfMainInvestigation
Indicates the country in which the primary or main part of an investigation is conducted or focused.
-
E.
principalInvestigatorCountry
Indicates the country with which the principal investigator is affiliated or based.
- 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_69f76ecb4acc8190b53f96d0b013e415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba61dff5081909fec88a7aeb0c8a1 |
completed | May 6, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69fba350e9a8819095893229d9643572 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.