Triple
T20043503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina and Paraguay |
E497490
|
entity |
| Predicate | haveSecurityCooperation |
P105047
|
FINISHED |
| Object | border security collaboration |
—
|
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: border security collaboration | Statement: [Argentina and Paraguay, haveSecurityCooperation, border security collaboration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveSecurityCooperation Context triple: [Argentina and Paraguay, haveSecurityCooperation, border security collaboration]
-
A.
hasMilitaryCooperationAt
Indicates that two or more entities engage in military cooperation at or in relation to a specific location or venue.
-
B.
hasCooperationFramework
Indicates that two or more entities are formally linked by an agreed framework that governs how they cooperate or collaborate with each other.
-
C.
securityCooperationFormat
chosen
Indicates the type or structure of collaborative security arrangements or mechanisms established between entities.
-
D.
militaryCooperation
Indicates a collaborative relationship in which entities coordinate, support, or jointly conduct military activities, operations, or planning.
-
E.
hasLegalCooperation
Indicates that one entity engages in formal legal collaboration or assistance with another entity, typically through agreements, joint actions, or shared legal responsibilities.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ed59bc8190a9ff25493e500ebb |
completed | April 20, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:37 p.m.