Triple
T31441251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resolution RC/Res.6 on the crime of aggression |
E802070
|
entity |
| Predicate | countryOfAdoptionConference |
P65300
|
FINISHED |
| Object | Uganda |
—
|
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: Uganda | Statement: [Resolution RC/Res.6 on the crime of aggression, countryOfAdoptionConference, Uganda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfAdoptionConference Context triple: [Resolution RC/Res.6 on the crime of aggression, countryOfAdoptionConference, Uganda]
-
A.
adoptionConference
Indicates a relationship where an event functions as a conference focused on topics, processes, or issues related to adoption.
-
B.
adoptionCountry
Indicates the country in which the adoption of an entity (such as a person, animal, or item) legally took place.
-
C.
countryOfConference
chosen
Indicates the country in which a given conference is held or officially hosted.
-
D.
adoptedCountry
Indicates the country that an entity has chosen to reside in or align with as its new home, distinct from its place of origin.
-
E.
continentOfAdoption
Indicates the continent on which an adoption takes place or to which an adoption is geographically attributed.
- 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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffed8912488190baa05f572e5b1b89 |
completed | May 10, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69ffed12a76c8190ad85c6ac869c72e9 |
completed | May 10, 2026, 2:27 a.m. |
Created at: April 30, 2026, 9:05 p.m.