Triple
T24749550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shayrat Airbase |
E619102
|
entity |
| Predicate | strikeOrderedBy |
P104761
|
FINISHED |
| Object | United States President Donald Trump |
—
|
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: United States President Donald Trump | Statement: [Shayrat Airbase, strikeOrderedBy, United States President Donald Trump]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strikeOrderedBy Context triple: [Shayrat Airbase, strikeOrderedBy, United States President Donald Trump]
-
A.
movementOrderedBy
chosen
Indicates that one entity’s movement occurs according to, or is arranged/controlled by, another entity’s ordering or directive.
-
B.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
C.
confersOrder
Indicates that one entity formally bestows or grants an order, rank, or honorific distinction upon another entity.
-
D.
orderedBy
Indicates that one entity has placed a request or purchase for another entity, typically specifying who initiated the order.
-
E.
orderedProtectionBy
Indicates that one entity has formally requested or arranged protective measures to be provided by 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:24 a.m.