Triple
T36713333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caesar Syria Civilian Protection Act |
E906850
|
entity |
| Predicate | policyToolOf |
P1652
|
FINISHED |
| Object | United States foreign policy toward Syria |
—
|
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: United States foreign policy toward Syria | Statement: [Caesar Syria Civilian Protection Act, policyToolOf, United States foreign policy toward Syria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyToolOf Context triple: [Caesar Syria Civilian Protection Act, policyToolOf, United States foreign policy toward Syria]
-
A.
policyTool
chosen
Indicates that an entity is a tool, mechanism, or instrument used to design, implement, or enforce a policy.
-
B.
analyzesPolicyTool
Indicates that one entity examines, evaluates, or studies a policy-related tool or instrument to understand its features, effectiveness, or implications.
-
C.
policyElement
Indicates that something is a component or constituent part of a broader policy.
-
D.
policyModel
Indicates a relationship where an entity serves as, or is governed by, a particular policy model that defines rules, strategies, or decision-making behavior.
-
E.
policyInput
Indicates that a policy is being provided as input or applied as an influencing factor to another entity or process.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 3, 2026, 4:12 p.m.