Triple
T26707069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agreement on the Conservation of Albatrosses and Petrels |
E673310
|
entity |
| Predicate | secretariatCountry |
P118930
|
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: [Agreement on the Conservation of Albatrosses and Petrels, secretariatCountry, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secretariatCountry Context triple: [Agreement on the Conservation of Albatrosses and Petrels, secretariatCountry, Australia]
-
A.
designationCountry
Indicates the country that officially assigns or confers a particular status, title, or designation on an entity.
-
B.
countryOf
chosen
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
C.
countryOfPatronage
Indicates the country that officially supports, sponsors, or acts as a patron for a given entity or activity.
-
D.
capitalCountry
Indicates that one place serves as the capital city of a given country.
-
E.
countryOfStrongAssociation
Indicates a strong, notable, or primary connection between an entity and a specific country, such as origin, major activity, or significant influence.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f617bb5a38819099dace3392694896 |
completed | May 2, 2026, 3:26 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:34 a.m.