Triple
T35882181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States (during early Iran–Iraq War period) |
E1037539
|
entity |
| Predicate | providedDualUseAssistanceTo |
P197537
|
FINISHED |
| Object | Iraq |
—
|
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: Iraq | Statement: [United States (during early Iran–Iraq War period), providedDualUseAssistanceTo, Iraq]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providedDualUseAssistanceTo Context triple: [United States (during early Iran–Iraq War period), providedDualUseAssistanceTo, Iraq]
-
A.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
-
B.
providedMilitaryAidTo
Indicates that one entity has supplied military assistance, such as weapons, training, funding, or logistical support, to another entity.
-
C.
assistanceMayInclude
Indicates that one entity’s assistance to another can optionally encompass or involve a specified type, component, or aspect of help.
-
D.
assistance
Indicates providing help, support, or aid from one entity to another to facilitate a task, goal, or need.
-
E.
providedAuxiliariesTo
Indicates that one entity supplied auxiliary resources, support, or services to another entity.
- F. None of above. chosen
Provenance (4 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69fe991abc6c81908edbb98d61c9ca73 |
completed | May 9, 2026, 2:16 a.m. |
Created at: May 3, 2026, 4:06 p.m.