Triple
T11148785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syria–United States relations |
E263732
|
entity |
| Predicate | usDesignation |
P58957
|
FINISHED |
| Object | State Sponsor of Terrorism |
—
|
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: State Sponsor of Terrorism | Statement: [Syria–United States relations, usDesignation, State Sponsor of Terrorism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usDesignation Context triple: [Syria–United States relations, usDesignation, State Sponsor of Terrorism]
-
A.
hasDesignation
Indicates that an entity holds or is assigned a specific title, label, or formal designation.
-
B.
hasDesignationBy
chosen
Indicates that one entity has been formally assigned or labeled with a specific designation by another entity.
-
C.
sideDesignation
Indicates how an entity is classified or labeled with respect to a particular side, position, or alignment within a relationship or context.
-
D.
politicalDesignation
Indicates that an entity is assigned or associated with a specific political status, role, or classification.
-
E.
designationFor
Indicates that one entity serves as the official title, label, or role name assigned to 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_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_69d75ce71944819089eee9b5c9283cbd |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.