Triple
T32906266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syrian Corrective Movement |
E841746
|
entity |
| Predicate | domesticPolicyChange |
P133271
|
FINISHED |
| Object | economic state control expansion |
—
|
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 state control expansion | Statement: [Syrian Corrective Movement, domesticPolicyChange, economic state control expansion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: domesticPolicyChange Context triple: [Syrian Corrective Movement, domesticPolicyChange, economic state control expansion]
-
A.
politicalShift
Indicates a change in an entity’s political position, alignment, or governing structure over time.
-
B.
politicalChangeAssociatedWith
Indicates that one political change is connected or correlated with another event, condition, or transformation.
-
C.
nationalPolicy
chosen
Indicates that an entity establishes, embodies, or is governed by an official policy at the level of a nation-state.
-
D.
mainPoliticalDevelopment
Indicates the primary or most significant political change, event, or evolution affecting an entity within a given period or context.
-
E.
policyTopic
Indicates that one entity is about, concerned with, or categorized under a particular policy-related subject or theme.
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:19 a.m.