Triple
T26833805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assad family |
E675571
|
entity |
| Predicate | militaryWingInfluence |
P87225
|
FINISHED |
| Object | Republican Guard of 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: Republican Guard of Syria | Statement: [Assad family, militaryWingInfluence, Republican Guard of Syria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryWingInfluence Context triple: [Assad family, militaryWingInfluence, Republican Guard of Syria]
-
A.
militaryInfluence
chosen
Indicates the extent to which one entity affects, shapes, or controls another entity through military power, presence, or capability.
-
B.
militaryWingLeader
Indicates that one entity is the leader or head of the military wing or armed branch associated with another entity.
-
C.
militaryReputation
Indicates the perceived standing or esteem of an entity based on its past or present military performance, conduct, or capabilities.
-
D.
militaryImportance
Indicates the degree to which something is strategically or operationally significant to military objectives or capabilities.
-
E.
stateOfForces
Indicates the condition, disposition, or readiness level of military or organizational forces at a given time.
- 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_69eee9b776448190993a60b67fcc9545 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 5:03 a.m.