Triple
T31015395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havana peace talks |
E790314
|
entity |
| Predicate | accompanyingCountry |
P51288
|
FINISHED |
| Object | Venezuela |
—
|
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: Venezuela | Statement: [Havana peace talks, accompanyingCountry, Venezuela]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accompanyingCountry Context triple: [Havana peace talks, accompanyingCountry, Venezuela]
-
A.
relatedCountry
Indicates that there is a relevant or associated relationship between an entity and a specified country, without specifying the exact nature of that relationship.
-
B.
associatedCountry
Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
-
C.
formerParticipatingCountry
Indicates that a country previously took part in a specific organization, event, or arrangement but is no longer a participating member.
-
D.
collaborationCountry
chosen
Indicates that there is a collaborative relationship or joint activity involving entities associated with the specified country.
-
E.
invitedCountry
Indicates that one entity has extended an invitation to another entity identified as a country.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:57 p.m.