Triple
T36320072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States–Bolivia relations |
E894305
|
entity |
| Predicate | hasCooperationIn |
P203609
|
FINISHED |
| Object | counternarcotics |
—
|
LITERAL FINISHED |
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: counternarcotics | Statement: [United States–Bolivia relations, hasCooperationIn, counternarcotics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCooperationIn Context triple: [United States–Bolivia relations, hasCooperationIn, counternarcotics]
-
A.
hasCollaborationIn
chosen
Indicates that two or more entities work together or jointly participate in a specific project, context, or domain.
-
B.
definesCooperationWith
Indicates that one entity formally specifies or establishes the terms, scope, or nature of cooperative interaction with another entity.
-
C.
hasCooperative
Indicates that one entity participates in a cooperative relationship or partnership with another entity.
-
D.
cooperationAmong
Indicates a relationship in which multiple entities work together collaboratively toward shared goals or mutual benefit.
-
E.
implementedInCooperationWith
Indicates that an action, project, or initiative was carried out jointly or collaboratively together with another party.
- 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_69f76e4d1a788190a6ab6ccca28547a7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.