Triple
T27524046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan–South Korea |
E694786
|
entity |
| Predicate | hasSecurityAgreement |
P38198
|
FINISHED |
| Object | General Security of Military Information Agreement |
—
|
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: General Security of Military Information Agreement | Statement: [Japan–South Korea, hasSecurityAgreement, General Security of Military Information Agreement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecurityAgreement Context triple: [Japan–South Korea, hasSecurityAgreement, General Security of Military Information Agreement]
-
A.
hasSecurityClause
Indicates that an agreement, contract, or document includes a provision specifying security-related requirements, protections, or safeguards.
-
B.
hasAgreementSystem
Indicates that there exists a specific grammatical agreement system (e.g., for features like number, gender, or person) associated with the given entity.
-
C.
hasTypeOfAgreement
chosen
Indicates that one entity is associated with, or governed by, a specific category or type of agreement.
-
D.
hasCustomerAgreement
Indicates that a customer is bound by or associated with a specific agreement or contract.
-
E.
hasSecurityRelationship
Indicates a relationship in which one entity provides, manages, or is otherwise linked to the security or protection of another 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_69ef538550208190aa9de8e2cb260d93 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: April 27, 2026, 1:22 p.m.