Triple
T21064435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran–Israel proxy conflict |
E518929
|
entity |
| Predicate | IranActionsInclude |
P107034
|
FINISHED |
| Object | support for Hezbollah |
—
|
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: support for Hezbollah | Statement: [Iran–Israel proxy conflict, IranActionsInclude, support for Hezbollah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IranActionsInclude Context triple: [Iran–Israel proxy conflict, IranActionsInclude, support for Hezbollah]
-
A.
impactOnIran
Indicates the effect or consequences that an action, event, or policy has on Iran.
-
B.
positionOnIran
Indicates the stance, opinion, or policy that one entity holds regarding Iran.
-
C.
relationshipToIran
chosen
Indicates a specified type of relational connection or association that an entity has with Iran.
-
D.
countryNuclearProgram
Indicates that a country possesses, develops, or maintains a nuclear weapons or nuclear energy program.
-
E.
receivesMilitaryAidFrom
Indicates that one entity obtains military assistance, such as equipment, training, or funding, from 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb29e388190a80fa969a4daa606 |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:44 p.m.