Triple
T11148787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syria–United States relations |
E263732
|
entity |
| Predicate | usPolicyTool |
P1652
|
FINISHED |
| Object | economic sanctions |
—
|
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: economic sanctions | Statement: [Syria–United States relations, usPolicyTool, economic sanctions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usPolicyTool Context triple: [Syria–United States relations, usPolicyTool, economic sanctions]
-
A.
policyTool
chosen
Indicates that an entity is a tool, mechanism, or instrument used to design, implement, or enforce a policy.
-
B.
usesPolicyModel
Indicates that one entity applies, relies on, or operates according to a particular policy model.
-
C.
eraPolicy
Indicates that a specific policy was in effect during a particular historical or temporal era.
-
D.
analyzesPolicyTool
Indicates that one entity examines, evaluates, or studies a policy-related tool or instrument to understand its features, effectiveness, or implications.
-
E.
doctrinePolicy
Indicates that one entity’s doctrine, principle, or belief system serves as the basis for, or is formally expressed through, another entity’s policy or set of rules.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8701ea481908c86c2359f5dc957 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:28 p.m.