Triple
T33789713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow-format consultations on Afghanistan |
E865897
|
entity |
| Predicate | chairingCountry |
P10523
|
FINISHED |
| Object | Russia |
—
|
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: Russia | Statement: [Moscow-format consultations on Afghanistan, chairingCountry, Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chairingCountry Context triple: [Moscow-format consultations on Afghanistan, chairingCountry, Russia]
-
A.
organizerCountry
chosen
Indicates the country that serves as the organizer or host for an event, activity, or initiative.
-
B.
hostCountryLeader
Indicates that the referenced leader is the primary political head of the country in which the related event, visit, or interaction is taking place.
-
C.
coHostCountryWith
Indicates that two countries jointly serve as hosts for the same event or activity.
-
D.
lastHostCountry
Indicates the country that most recently hosted a particular event, activity, or entity.
-
E.
proposedHostCountry
Indicates the country that is being suggested or designated to host a particular event, activity, or entity.
- 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_69f3498ecc2c8190bcd85e3f11dc215e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.